In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Downloading mnist: 9.92MB [00:09, 1.06MB/s] Extracting mnist: 100%|████████████████████████████████████████████████| 60.0K/60.0K [01:38<00:00, 606File/s] Downloading celeba: 1.44GB [13:20, 1.80MB/s]
Extracting celeba...
show_n_images = 25
"""
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"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
<matplotlib.image.AxesImage at 0x1ce8eafa278>
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.
show_n_images = 25
"""
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"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
<matplotlib.image.AxesImage at 0x1cd9f01fac8>
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.
The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).
You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputsdiscriminatorgeneratormodel_lossmodel_opttrainThis will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
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"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0 Default GPU Device: /gpu:0
Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width, image_height, and image_channels.z_dim.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
return tf.placeholder(tf.float32, shape=([None, image_width, image_height, image_channels]), name='input_real'), \
tf.placeholder(tf.float32, shape=[None, z_dim], name='input_z'), \
tf.placeholder(tf.float32, shape=None, name='learning_rate')
"""
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"""
tests.test_model_inputs(model_inputs)
Tests Passed
Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).
keep_prob = 0.8
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param image: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator', reuse=reuse):
# Input layer is 28x28x3
# https://prateekvjoshi.com/2016/03/29/understanding-xavier-initialization-in-deep-neural-networks/
x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
relu1 = leaky_relu(x1)
x2 = tf.layers.conv2d(relu1, 128, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
batch_norm2 = tf.layers.batch_normalization(x2, training=True)
relu2 = leaky_relu(batch_norm2)
# Discriminator should be smaller model than generator
# x3 = tf.layers.conv2d(relu2, 256, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
# batch_norm3 = tf.layers.batch_normalization(x3, training=True)
# relu3 = leaky_relu(batch_norm3)
#add drop out
drop2 = tf.nn.dropout(relu2, keep_prob)
# Flatten
flat = tf.reshape(drop2, (-1, 4*4*256))
logits = tf.layers.dense(flat, 1)
logits = tf.nn.dropout(logits, keep_prob)
out = tf.sigmoid(logits)
return out, logits
def leaky_relu(node, alpha=0.01, name='leaky_relu'):
return tf.maximum(alpha * node, node, name=name)
"""
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"""
tests.test_discriminator(discriminator, tf)
Tests Passed
Implement generator to generate an image using z. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
with tf.variable_scope('generator', reuse= not is_train):
x1 = tf.layers.dense(z, 7*7*256)
x1 = tf.nn.dropout(x1, keep_prob) # add drop out
x1 = tf.reshape(x1, (-1, 7, 7, 256))
x1 = tf.layers.batch_normalization(x1, training=is_train)
x1 = leaky_relu(x1)
x2 = tf.layers.conv2d_transpose(x1, 128, 5, strides=2, padding='same')
x2 = tf.layers.batch_normalization(x2, training=is_train)
x2 = leaky_relu(x2)
x3 = tf.layers.conv2d_transpose(x2, 64, 5, strides=2, padding='same')
x3 = tf.layers.batch_normalization(x3, training=is_train)
x3 = leaky_relu(x3)
logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=1, padding='same')
out = tf.tanh(logits)
return out
"""
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"""
tests.test_generator(generator, tf)
Tests Passed
Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)generator(z, out_channel_dim, is_train=True)def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
g_model = generator(input_z, out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed
Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
d_train_o = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
g_updates = [opt for opt in update_ops if opt.name.startswith('generator')]
with tf.control_dependencies(g_updates):
g_train_o = tf.train.AdamOptimizer(learning_rate, beta1).minimize(g_loss, var_list=g_vars)
return d_train_o, g_train_o
"""
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"""
tests.test_model_opt(model_opt, tf)
Tests Passed
"""
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"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)model_loss(input_real, input_z, out_channel_dim)model_opt(d_loss, g_loss, learning_rate, beta1)Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# The inputs
input_real, input_z, lr = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
# Loss
d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
# Optimization
d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
steps = 0
for batch_images in get_batches(batch_size):
batch_images = batch_images.reshape(batch_size, data_shape[1], data_shape[2], data_shape[3])
batch_images = batch_images*2
z_noise = np.random.uniform(-1, 1, size=(batch_size, z_dim))
_ = sess.run(d_train_opt, feed_dict={input_real: batch_images, input_z: z_noise})
_ = sess.run(g_train_opt, feed_dict={input_z: z_noise})
steps += 1
train_loss_d = sess.run(d_loss, feed_dict={input_real: batch_images, input_z: z_noise})
train_loss_g = g_loss.eval({input_z: z_noise})
if steps % 10 == 0:
print("Epoch {}/{}: steps {}".format(epoch_i+1, epochs, steps),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
if steps % 100 == 0:
show_generator_output(sess, 10, input_z, data_shape[3], data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 100
learning_rate = .0003
beta1 = .5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/5: steps 10 Discriminator Loss: 1.2844... Generator Loss: 0.6878 Epoch 1/5: steps 20 Discriminator Loss: 1.3078... Generator Loss: 0.8317 Epoch 1/5: steps 30 Discriminator Loss: 0.8799... Generator Loss: 1.2109 Epoch 1/5: steps 40 Discriminator Loss: 1.1637... Generator Loss: 0.7993 Epoch 1/5: steps 50 Discriminator Loss: 0.9290... Generator Loss: 1.0208 Epoch 1/5: steps 60 Discriminator Loss: 0.9290... Generator Loss: 1.1219 Epoch 1/5: steps 70 Discriminator Loss: 1.3494... Generator Loss: 0.8403 Epoch 1/5: steps 80 Discriminator Loss: 1.3122... Generator Loss: 0.7262 Epoch 1/5: steps 90 Discriminator Loss: 1.2294... Generator Loss: 0.7808 Epoch 1/5: steps 100 Discriminator Loss: 1.2077... Generator Loss: 0.8382
Epoch 1/5: steps 110 Discriminator Loss: 1.2874... Generator Loss: 0.8538 Epoch 1/5: steps 120 Discriminator Loss: 1.1600... Generator Loss: 0.7594 Epoch 1/5: steps 130 Discriminator Loss: 1.2797... Generator Loss: 0.7129 Epoch 1/5: steps 140 Discriminator Loss: 1.2119... Generator Loss: 0.7944 Epoch 1/5: steps 150 Discriminator Loss: 1.1741... Generator Loss: 0.9199 Epoch 1/5: steps 160 Discriminator Loss: 1.2822... Generator Loss: 0.8651 Epoch 1/5: steps 170 Discriminator Loss: 1.2700... Generator Loss: 0.8286 Epoch 1/5: steps 180 Discriminator Loss: 1.1507... Generator Loss: 0.9799 Epoch 1/5: steps 190 Discriminator Loss: 1.2797... Generator Loss: 0.8113 Epoch 1/5: steps 200 Discriminator Loss: 1.2025... Generator Loss: 0.8467
Epoch 1/5: steps 210 Discriminator Loss: 1.2619... Generator Loss: 0.8831 Epoch 1/5: steps 220 Discriminator Loss: 1.3465... Generator Loss: 0.7986 Epoch 1/5: steps 230 Discriminator Loss: 1.3250... Generator Loss: 0.8387 Epoch 1/5: steps 240 Discriminator Loss: 1.2980... Generator Loss: 0.8028 Epoch 1/5: steps 250 Discriminator Loss: 1.2577... Generator Loss: 0.7646 Epoch 1/5: steps 260 Discriminator Loss: 1.2713... Generator Loss: 0.9242 Epoch 1/5: steps 270 Discriminator Loss: 1.3119... Generator Loss: 0.7220 Epoch 1/5: steps 280 Discriminator Loss: 1.2589... Generator Loss: 0.7767 Epoch 1/5: steps 290 Discriminator Loss: 1.2631... Generator Loss: 0.8329 Epoch 1/5: steps 300 Discriminator Loss: 1.2358... Generator Loss: 0.8531
Epoch 1/5: steps 310 Discriminator Loss: 1.2274... Generator Loss: 0.7437 Epoch 1/5: steps 320 Discriminator Loss: 1.2999... Generator Loss: 0.7945 Epoch 1/5: steps 330 Discriminator Loss: 1.2673... Generator Loss: 0.9083 Epoch 1/5: steps 340 Discriminator Loss: 1.3479... Generator Loss: 0.7933 Epoch 1/5: steps 350 Discriminator Loss: 1.2532... Generator Loss: 0.9143 Epoch 1/5: steps 360 Discriminator Loss: 1.2490... Generator Loss: 0.9042 Epoch 1/5: steps 370 Discriminator Loss: 1.3252... Generator Loss: 0.8447 Epoch 1/5: steps 380 Discriminator Loss: 1.1634... Generator Loss: 0.8080 Epoch 1/5: steps 390 Discriminator Loss: 1.3041... Generator Loss: 0.7611 Epoch 1/5: steps 400 Discriminator Loss: 1.2345... Generator Loss: 0.8441
Epoch 1/5: steps 410 Discriminator Loss: 1.2543... Generator Loss: 0.7493 Epoch 1/5: steps 420 Discriminator Loss: 1.2539... Generator Loss: 0.8263 Epoch 1/5: steps 430 Discriminator Loss: 1.3030... Generator Loss: 0.8390 Epoch 1/5: steps 440 Discriminator Loss: 1.2808... Generator Loss: 0.8310 Epoch 1/5: steps 450 Discriminator Loss: 1.1767... Generator Loss: 0.8756 Epoch 1/5: steps 460 Discriminator Loss: 1.2978... Generator Loss: 0.6877 Epoch 1/5: steps 470 Discriminator Loss: 1.2928... Generator Loss: 0.8425 Epoch 1/5: steps 480 Discriminator Loss: 1.1908... Generator Loss: 0.8765 Epoch 1/5: steps 490 Discriminator Loss: 1.2481... Generator Loss: 0.7307 Epoch 1/5: steps 500 Discriminator Loss: 1.2545... Generator Loss: 0.8466
Epoch 1/5: steps 510 Discriminator Loss: 1.1568... Generator Loss: 0.8647 Epoch 1/5: steps 520 Discriminator Loss: 1.3049... Generator Loss: 0.7341 Epoch 1/5: steps 530 Discriminator Loss: 1.2721... Generator Loss: 0.7575 Epoch 1/5: steps 540 Discriminator Loss: 1.1860... Generator Loss: 0.8390 Epoch 1/5: steps 550 Discriminator Loss: 1.2304... Generator Loss: 0.7792 Epoch 1/5: steps 560 Discriminator Loss: 1.2981... Generator Loss: 0.8205 Epoch 1/5: steps 570 Discriminator Loss: 1.2342... Generator Loss: 0.8837 Epoch 1/5: steps 580 Discriminator Loss: 1.2734... Generator Loss: 0.7386 Epoch 1/5: steps 590 Discriminator Loss: 1.1757... Generator Loss: 0.8840 Epoch 1/5: steps 600 Discriminator Loss: 1.2912... Generator Loss: 0.8048
Epoch 1/5: steps 610 Discriminator Loss: 1.2488... Generator Loss: 0.8480 Epoch 1/5: steps 620 Discriminator Loss: 1.2181... Generator Loss: 0.7336 Epoch 1/5: steps 630 Discriminator Loss: 1.1605... Generator Loss: 0.8206 Epoch 1/5: steps 640 Discriminator Loss: 1.2222... Generator Loss: 0.8090 Epoch 1/5: steps 650 Discriminator Loss: 1.3474... Generator Loss: 0.8090 Epoch 1/5: steps 660 Discriminator Loss: 1.1782... Generator Loss: 1.0533 Epoch 1/5: steps 670 Discriminator Loss: 1.2942... Generator Loss: 0.8093 Epoch 1/5: steps 680 Discriminator Loss: 1.2199... Generator Loss: 0.7276 Epoch 1/5: steps 690 Discriminator Loss: 1.2940... Generator Loss: 0.9284 Epoch 1/5: steps 700 Discriminator Loss: 1.2376... Generator Loss: 0.8444
Epoch 1/5: steps 710 Discriminator Loss: 1.2697... Generator Loss: 0.9803 Epoch 1/5: steps 720 Discriminator Loss: 1.3541... Generator Loss: 0.7483 Epoch 1/5: steps 730 Discriminator Loss: 1.2649... Generator Loss: 0.7835 Epoch 1/5: steps 740 Discriminator Loss: 1.2694... Generator Loss: 0.8413 Epoch 1/5: steps 750 Discriminator Loss: 1.1136... Generator Loss: 0.8834 Epoch 1/5: steps 760 Discriminator Loss: 1.1691... Generator Loss: 0.8551 Epoch 1/5: steps 770 Discriminator Loss: 1.1809... Generator Loss: 0.8820 Epoch 1/5: steps 780 Discriminator Loss: 1.3004... Generator Loss: 0.7246 Epoch 1/5: steps 790 Discriminator Loss: 1.3070... Generator Loss: 1.0823 Epoch 1/5: steps 800 Discriminator Loss: 1.2191... Generator Loss: 0.8287
Epoch 1/5: steps 810 Discriminator Loss: 1.2343... Generator Loss: 0.8341 Epoch 1/5: steps 820 Discriminator Loss: 1.2276... Generator Loss: 0.8424 Epoch 1/5: steps 830 Discriminator Loss: 1.1768... Generator Loss: 0.9659 Epoch 1/5: steps 840 Discriminator Loss: 1.2262... Generator Loss: 0.7477 Epoch 1/5: steps 850 Discriminator Loss: 1.1730... Generator Loss: 1.0589 Epoch 1/5: steps 860 Discriminator Loss: 1.4110... Generator Loss: 0.7671 Epoch 1/5: steps 870 Discriminator Loss: 1.3144... Generator Loss: 0.6294 Epoch 1/5: steps 880 Discriminator Loss: 1.0775... Generator Loss: 0.9440 Epoch 1/5: steps 890 Discriminator Loss: 1.2320... Generator Loss: 0.9406 Epoch 1/5: steps 900 Discriminator Loss: 1.2186... Generator Loss: 0.9377
Epoch 1/5: steps 910 Discriminator Loss: 1.2046... Generator Loss: 0.9343 Epoch 1/5: steps 920 Discriminator Loss: 1.0803... Generator Loss: 1.0031 Epoch 1/5: steps 930 Discriminator Loss: 1.2675... Generator Loss: 0.8125 Epoch 2/5: steps 10 Discriminator Loss: 1.1133... Generator Loss: 1.0187 Epoch 2/5: steps 20 Discriminator Loss: 1.2889... Generator Loss: 0.8226 Epoch 2/5: steps 30 Discriminator Loss: 1.2406... Generator Loss: 0.9133 Epoch 2/5: steps 40 Discriminator Loss: 1.2390... Generator Loss: 0.8919 Epoch 2/5: steps 50 Discriminator Loss: 1.2926... Generator Loss: 0.6769 Epoch 2/5: steps 60 Discriminator Loss: 1.2700... Generator Loss: 0.7776 Epoch 2/5: steps 70 Discriminator Loss: 1.2484... Generator Loss: 0.7927 Epoch 2/5: steps 80 Discriminator Loss: 1.1916... Generator Loss: 0.8733 Epoch 2/5: steps 90 Discriminator Loss: 1.3121... Generator Loss: 0.9195 Epoch 2/5: steps 100 Discriminator Loss: 1.2241... Generator Loss: 0.7955
Epoch 2/5: steps 110 Discriminator Loss: 1.1687... Generator Loss: 0.9235 Epoch 2/5: steps 120 Discriminator Loss: 1.2058... Generator Loss: 0.9633 Epoch 2/5: steps 130 Discriminator Loss: 1.1504... Generator Loss: 0.8732 Epoch 2/5: steps 140 Discriminator Loss: 1.1883... Generator Loss: 0.7758 Epoch 2/5: steps 150 Discriminator Loss: 1.2830... Generator Loss: 0.9498 Epoch 2/5: steps 160 Discriminator Loss: 1.1997... Generator Loss: 1.0314 Epoch 2/5: steps 170 Discriminator Loss: 1.2510... Generator Loss: 0.8301 Epoch 2/5: steps 180 Discriminator Loss: 1.2759... Generator Loss: 0.8338 Epoch 2/5: steps 190 Discriminator Loss: 1.1259... Generator Loss: 1.0272 Epoch 2/5: steps 200 Discriminator Loss: 1.2589... Generator Loss: 0.7849
Epoch 2/5: steps 210 Discriminator Loss: 1.3010... Generator Loss: 0.8639 Epoch 2/5: steps 220 Discriminator Loss: 1.1656... Generator Loss: 0.7372 Epoch 2/5: steps 230 Discriminator Loss: 1.2918... Generator Loss: 0.7841 Epoch 2/5: steps 240 Discriminator Loss: 1.1699... Generator Loss: 0.8919 Epoch 2/5: steps 250 Discriminator Loss: 1.1319... Generator Loss: 0.7960 Epoch 2/5: steps 260 Discriminator Loss: 1.2218... Generator Loss: 0.8850 Epoch 2/5: steps 270 Discriminator Loss: 1.2357... Generator Loss: 0.9052 Epoch 2/5: steps 280 Discriminator Loss: 1.3313... Generator Loss: 0.9154 Epoch 2/5: steps 290 Discriminator Loss: 1.2003... Generator Loss: 0.7375 Epoch 2/5: steps 300 Discriminator Loss: 1.3739... Generator Loss: 0.6966
Epoch 2/5: steps 310 Discriminator Loss: 1.2067... Generator Loss: 0.7964 Epoch 2/5: steps 320 Discriminator Loss: 1.2370... Generator Loss: 0.9637 Epoch 2/5: steps 330 Discriminator Loss: 1.2523... Generator Loss: 0.8030 Epoch 2/5: steps 340 Discriminator Loss: 1.1403... Generator Loss: 0.8943 Epoch 2/5: steps 350 Discriminator Loss: 1.1466... Generator Loss: 1.1078 Epoch 2/5: steps 360 Discriminator Loss: 1.0898... Generator Loss: 0.7974 Epoch 2/5: steps 370 Discriminator Loss: 1.1565... Generator Loss: 0.8604 Epoch 2/5: steps 380 Discriminator Loss: 1.1297... Generator Loss: 0.9245 Epoch 2/5: steps 390 Discriminator Loss: 1.1584... Generator Loss: 0.8539 Epoch 2/5: steps 400 Discriminator Loss: 1.2110... Generator Loss: 0.7236
Epoch 2/5: steps 410 Discriminator Loss: 1.1956... Generator Loss: 0.9078 Epoch 2/5: steps 420 Discriminator Loss: 1.1601... Generator Loss: 0.9825 Epoch 2/5: steps 430 Discriminator Loss: 1.1469... Generator Loss: 0.8390 Epoch 2/5: steps 440 Discriminator Loss: 1.2028... Generator Loss: 0.7621 Epoch 2/5: steps 450 Discriminator Loss: 1.1308... Generator Loss: 1.1259 Epoch 2/5: steps 460 Discriminator Loss: 1.2825... Generator Loss: 0.6864 Epoch 2/5: steps 470 Discriminator Loss: 1.2508... Generator Loss: 0.8449 Epoch 2/5: steps 480 Discriminator Loss: 1.1635... Generator Loss: 1.2161 Epoch 2/5: steps 490 Discriminator Loss: 1.1632... Generator Loss: 0.8359 Epoch 2/5: steps 500 Discriminator Loss: 1.1356... Generator Loss: 0.8271
Epoch 2/5: steps 510 Discriminator Loss: 1.2166... Generator Loss: 0.8132 Epoch 2/5: steps 520 Discriminator Loss: 1.3777... Generator Loss: 0.5143 Epoch 2/5: steps 530 Discriminator Loss: 1.1912... Generator Loss: 0.9373 Epoch 2/5: steps 540 Discriminator Loss: 1.1317... Generator Loss: 0.8928 Epoch 2/5: steps 550 Discriminator Loss: 1.0903... Generator Loss: 0.8779 Epoch 2/5: steps 560 Discriminator Loss: 1.2586... Generator Loss: 0.9293 Epoch 2/5: steps 570 Discriminator Loss: 1.1946... Generator Loss: 0.7707 Epoch 2/5: steps 580 Discriminator Loss: 1.1504... Generator Loss: 0.7626 Epoch 2/5: steps 590 Discriminator Loss: 1.1679... Generator Loss: 0.8072 Epoch 2/5: steps 600 Discriminator Loss: 1.1627... Generator Loss: 0.9840
Epoch 2/5: steps 610 Discriminator Loss: 1.2403... Generator Loss: 0.7956 Epoch 2/5: steps 620 Discriminator Loss: 1.2537... Generator Loss: 0.7393 Epoch 2/5: steps 630 Discriminator Loss: 1.0791... Generator Loss: 0.8394 Epoch 2/5: steps 640 Discriminator Loss: 1.1845... Generator Loss: 0.9937 Epoch 2/5: steps 650 Discriminator Loss: 1.1111... Generator Loss: 0.9444 Epoch 2/5: steps 660 Discriminator Loss: 1.1406... Generator Loss: 1.1737 Epoch 2/5: steps 670 Discriminator Loss: 1.1643... Generator Loss: 0.8496 Epoch 2/5: steps 680 Discriminator Loss: 1.2285... Generator Loss: 0.7843 Epoch 2/5: steps 690 Discriminator Loss: 1.1275... Generator Loss: 0.8521 Epoch 2/5: steps 700 Discriminator Loss: 1.1457... Generator Loss: 1.0025
Epoch 2/5: steps 710 Discriminator Loss: 1.1901... Generator Loss: 0.9648 Epoch 2/5: steps 720 Discriminator Loss: 1.2026... Generator Loss: 0.8710 Epoch 2/5: steps 730 Discriminator Loss: 1.1989... Generator Loss: 0.9458 Epoch 2/5: steps 740 Discriminator Loss: 1.1409... Generator Loss: 1.0180 Epoch 2/5: steps 750 Discriminator Loss: 1.0528... Generator Loss: 0.9536 Epoch 2/5: steps 760 Discriminator Loss: 1.0765... Generator Loss: 1.0824 Epoch 2/5: steps 770 Discriminator Loss: 1.1083... Generator Loss: 1.0588 Epoch 2/5: steps 780 Discriminator Loss: 1.2255... Generator Loss: 0.9277 Epoch 2/5: steps 790 Discriminator Loss: 1.2479... Generator Loss: 0.9360 Epoch 2/5: steps 800 Discriminator Loss: 1.1908... Generator Loss: 1.0876
Epoch 2/5: steps 810 Discriminator Loss: 1.1021... Generator Loss: 1.0496 Epoch 2/5: steps 820 Discriminator Loss: 1.0872... Generator Loss: 0.9967 Epoch 2/5: steps 830 Discriminator Loss: 1.0383... Generator Loss: 1.0628 Epoch 2/5: steps 840 Discriminator Loss: 1.2492... Generator Loss: 1.1468 Epoch 2/5: steps 850 Discriminator Loss: 1.3290... Generator Loss: 1.1201 Epoch 2/5: steps 860 Discriminator Loss: 1.3254... Generator Loss: 0.8299 Epoch 2/5: steps 870 Discriminator Loss: 1.2897... Generator Loss: 0.8039 Epoch 2/5: steps 880 Discriminator Loss: 1.1686... Generator Loss: 1.1550 Epoch 2/5: steps 890 Discriminator Loss: 1.0824... Generator Loss: 0.9177 Epoch 2/5: steps 900 Discriminator Loss: 1.1245... Generator Loss: 1.1926
Epoch 2/5: steps 910 Discriminator Loss: 1.1089... Generator Loss: 0.9830 Epoch 2/5: steps 920 Discriminator Loss: 1.1377... Generator Loss: 0.8804 Epoch 2/5: steps 930 Discriminator Loss: 1.1704... Generator Loss: 0.9996 Epoch 3/5: steps 10 Discriminator Loss: 1.0824... Generator Loss: 0.9476 Epoch 3/5: steps 20 Discriminator Loss: 1.1747... Generator Loss: 0.9415 Epoch 3/5: steps 30 Discriminator Loss: 1.1074... Generator Loss: 0.9826 Epoch 3/5: steps 40 Discriminator Loss: 1.2068... Generator Loss: 1.1808 Epoch 3/5: steps 50 Discriminator Loss: 1.1110... Generator Loss: 1.2321 Epoch 3/5: steps 60 Discriminator Loss: 1.1752... Generator Loss: 0.9098 Epoch 3/5: steps 70 Discriminator Loss: 1.1424... Generator Loss: 0.9645 Epoch 3/5: steps 80 Discriminator Loss: 0.9897... Generator Loss: 0.9774 Epoch 3/5: steps 90 Discriminator Loss: 1.1561... Generator Loss: 1.0282 Epoch 3/5: steps 100 Discriminator Loss: 1.0313... Generator Loss: 0.9675
Epoch 3/5: steps 110 Discriminator Loss: 1.1949... Generator Loss: 1.1827 Epoch 3/5: steps 120 Discriminator Loss: 1.1211... Generator Loss: 1.2741 Epoch 3/5: steps 130 Discriminator Loss: 1.1136... Generator Loss: 1.1569 Epoch 3/5: steps 140 Discriminator Loss: 1.1301... Generator Loss: 0.8874 Epoch 3/5: steps 150 Discriminator Loss: 1.2102... Generator Loss: 1.0660 Epoch 3/5: steps 160 Discriminator Loss: 1.0903... Generator Loss: 0.7970 Epoch 3/5: steps 170 Discriminator Loss: 1.1618... Generator Loss: 0.9957 Epoch 3/5: steps 180 Discriminator Loss: 1.1033... Generator Loss: 0.9430 Epoch 3/5: steps 190 Discriminator Loss: 1.1485... Generator Loss: 1.0192 Epoch 3/5: steps 200 Discriminator Loss: 1.1231... Generator Loss: 1.0813
Epoch 3/5: steps 210 Discriminator Loss: 1.0710... Generator Loss: 1.1449 Epoch 3/5: steps 220 Discriminator Loss: 1.1786... Generator Loss: 1.1465 Epoch 3/5: steps 230 Discriminator Loss: 1.0932... Generator Loss: 0.9541 Epoch 3/5: steps 240 Discriminator Loss: 1.1963... Generator Loss: 0.8535 Epoch 3/5: steps 250 Discriminator Loss: 0.9933... Generator Loss: 0.9212 Epoch 3/5: steps 260 Discriminator Loss: 1.0852... Generator Loss: 0.9615 Epoch 3/5: steps 270 Discriminator Loss: 1.0883... Generator Loss: 0.8833 Epoch 3/5: steps 280 Discriminator Loss: 1.1968... Generator Loss: 0.9232 Epoch 3/5: steps 290 Discriminator Loss: 1.0590... Generator Loss: 0.9229 Epoch 3/5: steps 300 Discriminator Loss: 1.1741... Generator Loss: 1.0500
Epoch 3/5: steps 310 Discriminator Loss: 1.0024... Generator Loss: 0.9280 Epoch 3/5: steps 320 Discriminator Loss: 1.1801... Generator Loss: 0.9338 Epoch 3/5: steps 330 Discriminator Loss: 1.0420... Generator Loss: 1.0992 Epoch 3/5: steps 340 Discriminator Loss: 1.2739... Generator Loss: 0.8169 Epoch 3/5: steps 350 Discriminator Loss: 1.1331... Generator Loss: 0.9162 Epoch 3/5: steps 360 Discriminator Loss: 1.1395... Generator Loss: 1.2103 Epoch 3/5: steps 370 Discriminator Loss: 1.1556... Generator Loss: 0.8400 Epoch 3/5: steps 380 Discriminator Loss: 0.9887... Generator Loss: 1.0678 Epoch 3/5: steps 390 Discriminator Loss: 1.0575... Generator Loss: 1.0362 Epoch 3/5: steps 400 Discriminator Loss: 1.2896... Generator Loss: 1.1585
Epoch 3/5: steps 410 Discriminator Loss: 1.1524... Generator Loss: 1.0965 Epoch 3/5: steps 420 Discriminator Loss: 1.1274... Generator Loss: 0.8947 Epoch 3/5: steps 430 Discriminator Loss: 1.1335... Generator Loss: 0.8812 Epoch 3/5: steps 440 Discriminator Loss: 1.0753... Generator Loss: 0.9027 Epoch 3/5: steps 450 Discriminator Loss: 1.1647... Generator Loss: 0.9080 Epoch 3/5: steps 460 Discriminator Loss: 1.3402... Generator Loss: 0.7208 Epoch 3/5: steps 470 Discriminator Loss: 1.2214... Generator Loss: 0.7480 Epoch 3/5: steps 480 Discriminator Loss: 0.9936... Generator Loss: 1.0003 Epoch 3/5: steps 490 Discriminator Loss: 1.1798... Generator Loss: 0.9804 Epoch 3/5: steps 500 Discriminator Loss: 1.1176... Generator Loss: 0.9313
Epoch 3/5: steps 510 Discriminator Loss: 1.1904... Generator Loss: 0.8210 Epoch 3/5: steps 520 Discriminator Loss: 1.1656... Generator Loss: 0.8182 Epoch 3/5: steps 530 Discriminator Loss: 1.1549... Generator Loss: 0.7947 Epoch 3/5: steps 540 Discriminator Loss: 1.1369... Generator Loss: 0.8302 Epoch 3/5: steps 550 Discriminator Loss: 1.0583... Generator Loss: 0.8786 Epoch 3/5: steps 560 Discriminator Loss: 1.2601... Generator Loss: 0.7834 Epoch 3/5: steps 570 Discriminator Loss: 1.1114... Generator Loss: 0.8959 Epoch 3/5: steps 580 Discriminator Loss: 1.1913... Generator Loss: 0.9916 Epoch 3/5: steps 590 Discriminator Loss: 1.1257... Generator Loss: 0.9839 Epoch 3/5: steps 600 Discriminator Loss: 1.2302... Generator Loss: 0.9458
Epoch 3/5: steps 610 Discriminator Loss: 1.1233... Generator Loss: 0.8184 Epoch 3/5: steps 620 Discriminator Loss: 1.1445... Generator Loss: 0.9761 Epoch 3/5: steps 630 Discriminator Loss: 1.1214... Generator Loss: 0.9901 Epoch 3/5: steps 640 Discriminator Loss: 1.1728... Generator Loss: 0.7670 Epoch 3/5: steps 650 Discriminator Loss: 1.3135... Generator Loss: 0.8976 Epoch 3/5: steps 660 Discriminator Loss: 1.1749... Generator Loss: 0.7828 Epoch 3/5: steps 670 Discriminator Loss: 1.2182... Generator Loss: 0.6957 Epoch 3/5: steps 680 Discriminator Loss: 1.3137... Generator Loss: 0.7571 Epoch 3/5: steps 690 Discriminator Loss: 1.2153... Generator Loss: 0.9126 Epoch 3/5: steps 700 Discriminator Loss: 1.1935... Generator Loss: 0.9661
Epoch 3/5: steps 710 Discriminator Loss: 1.3020... Generator Loss: 0.6913 Epoch 3/5: steps 720 Discriminator Loss: 1.2848... Generator Loss: 1.0566 Epoch 3/5: steps 730 Discriminator Loss: 1.1631... Generator Loss: 1.0161 Epoch 3/5: steps 740 Discriminator Loss: 1.2022... Generator Loss: 1.0842 Epoch 3/5: steps 750 Discriminator Loss: 1.1283... Generator Loss: 0.9185 Epoch 3/5: steps 760 Discriminator Loss: 1.1594... Generator Loss: 0.8746 Epoch 3/5: steps 770 Discriminator Loss: 1.1988... Generator Loss: 0.9228 Epoch 3/5: steps 780 Discriminator Loss: 1.2274... Generator Loss: 0.9232 Epoch 3/5: steps 790 Discriminator Loss: 1.2804... Generator Loss: 0.9717 Epoch 3/5: steps 800 Discriminator Loss: 1.3129... Generator Loss: 0.8910
Epoch 3/5: steps 810 Discriminator Loss: 1.1885... Generator Loss: 0.9526 Epoch 3/5: steps 820 Discriminator Loss: 1.1204... Generator Loss: 0.9515 Epoch 3/5: steps 830 Discriminator Loss: 1.3855... Generator Loss: 1.1674 Epoch 3/5: steps 840 Discriminator Loss: 1.1202... Generator Loss: 0.8184 Epoch 3/5: steps 850 Discriminator Loss: 1.1863... Generator Loss: 0.9199 Epoch 3/5: steps 860 Discriminator Loss: 1.4077... Generator Loss: 0.6559 Epoch 3/5: steps 870 Discriminator Loss: 1.3737... Generator Loss: 0.8401 Epoch 3/5: steps 880 Discriminator Loss: 1.1771... Generator Loss: 0.8750 Epoch 3/5: steps 890 Discriminator Loss: 1.1026... Generator Loss: 0.9089 Epoch 3/5: steps 900 Discriminator Loss: 1.1979... Generator Loss: 0.9158
Epoch 3/5: steps 910 Discriminator Loss: 1.0975... Generator Loss: 0.9407 Epoch 3/5: steps 920 Discriminator Loss: 1.1775... Generator Loss: 0.8547 Epoch 3/5: steps 930 Discriminator Loss: 1.1752... Generator Loss: 1.0806 Epoch 4/5: steps 10 Discriminator Loss: 1.2955... Generator Loss: 0.9719 Epoch 4/5: steps 20 Discriminator Loss: 1.1757... Generator Loss: 0.9757 Epoch 4/5: steps 30 Discriminator Loss: 1.3121... Generator Loss: 1.0338 Epoch 4/5: steps 40 Discriminator Loss: 1.1473... Generator Loss: 0.8981 Epoch 4/5: steps 50 Discriminator Loss: 1.0549... Generator Loss: 1.0134 Epoch 4/5: steps 60 Discriminator Loss: 1.2884... Generator Loss: 0.8219 Epoch 4/5: steps 70 Discriminator Loss: 1.1694... Generator Loss: 0.8725 Epoch 4/5: steps 80 Discriminator Loss: 1.0859... Generator Loss: 0.8634 Epoch 4/5: steps 90 Discriminator Loss: 1.1963... Generator Loss: 0.8453 Epoch 4/5: steps 100 Discriminator Loss: 1.2511... Generator Loss: 0.7590
Epoch 4/5: steps 110 Discriminator Loss: 1.2070... Generator Loss: 0.8755 Epoch 4/5: steps 120 Discriminator Loss: 1.1332... Generator Loss: 1.1555 Epoch 4/5: steps 130 Discriminator Loss: 1.2042... Generator Loss: 0.8768 Epoch 4/5: steps 140 Discriminator Loss: 1.1502... Generator Loss: 1.0463 Epoch 4/5: steps 150 Discriminator Loss: 1.1598... Generator Loss: 0.8383 Epoch 4/5: steps 160 Discriminator Loss: 1.2648... Generator Loss: 1.0062 Epoch 4/5: steps 170 Discriminator Loss: 1.2523... Generator Loss: 1.0575 Epoch 4/5: steps 180 Discriminator Loss: 1.2658... Generator Loss: 0.7600 Epoch 4/5: steps 190 Discriminator Loss: 1.2420... Generator Loss: 0.8805 Epoch 4/5: steps 200 Discriminator Loss: 1.1849... Generator Loss: 0.8719
Epoch 4/5: steps 210 Discriminator Loss: 1.1654... Generator Loss: 1.0120 Epoch 4/5: steps 220 Discriminator Loss: 1.2103... Generator Loss: 0.7414 Epoch 4/5: steps 230 Discriminator Loss: 1.2207... Generator Loss: 0.7927 Epoch 4/5: steps 240 Discriminator Loss: 1.3273... Generator Loss: 0.8250 Epoch 4/5: steps 250 Discriminator Loss: 1.1565... Generator Loss: 0.8782 Epoch 4/5: steps 260 Discriminator Loss: 1.1390... Generator Loss: 0.8670 Epoch 4/5: steps 270 Discriminator Loss: 1.1857... Generator Loss: 0.8232 Epoch 4/5: steps 280 Discriminator Loss: 1.2276... Generator Loss: 0.7000 Epoch 4/5: steps 290 Discriminator Loss: 1.1561... Generator Loss: 0.9801 Epoch 4/5: steps 300 Discriminator Loss: 1.2467... Generator Loss: 0.9070
Epoch 4/5: steps 310 Discriminator Loss: 1.1411... Generator Loss: 0.9237 Epoch 4/5: steps 320 Discriminator Loss: 1.2369... Generator Loss: 0.7148 Epoch 4/5: steps 330 Discriminator Loss: 1.1347... Generator Loss: 1.0571 Epoch 4/5: steps 340 Discriminator Loss: 1.1790... Generator Loss: 0.7500 Epoch 4/5: steps 350 Discriminator Loss: 1.2933... Generator Loss: 0.7987 Epoch 4/5: steps 360 Discriminator Loss: 1.1709... Generator Loss: 0.8752 Epoch 4/5: steps 370 Discriminator Loss: 1.2045... Generator Loss: 0.9273 Epoch 4/5: steps 380 Discriminator Loss: 1.1632... Generator Loss: 0.8918 Epoch 4/5: steps 390 Discriminator Loss: 1.2518... Generator Loss: 0.8541 Epoch 4/5: steps 400 Discriminator Loss: 1.1889... Generator Loss: 0.8585
Epoch 4/5: steps 410 Discriminator Loss: 1.2103... Generator Loss: 0.8439 Epoch 4/5: steps 420 Discriminator Loss: 1.1095... Generator Loss: 0.9175 Epoch 4/5: steps 430 Discriminator Loss: 1.1449... Generator Loss: 0.9554 Epoch 4/5: steps 440 Discriminator Loss: 1.2280... Generator Loss: 1.2051 Epoch 4/5: steps 450 Discriminator Loss: 1.1291... Generator Loss: 0.7326 Epoch 4/5: steps 460 Discriminator Loss: 1.2437... Generator Loss: 0.9602 Epoch 4/5: steps 470 Discriminator Loss: 1.2851... Generator Loss: 0.7343 Epoch 4/5: steps 480 Discriminator Loss: 1.1570... Generator Loss: 0.9048 Epoch 4/5: steps 490 Discriminator Loss: 1.2017... Generator Loss: 0.8429 Epoch 4/5: steps 500 Discriminator Loss: 1.1845... Generator Loss: 0.7979
Epoch 4/5: steps 510 Discriminator Loss: 1.2720... Generator Loss: 0.9583 Epoch 4/5: steps 520 Discriminator Loss: 1.2452... Generator Loss: 0.9007 Epoch 4/5: steps 530 Discriminator Loss: 1.1755... Generator Loss: 0.9628 Epoch 4/5: steps 540 Discriminator Loss: 1.2226... Generator Loss: 0.8690 Epoch 4/5: steps 550 Discriminator Loss: 1.1439... Generator Loss: 0.8330 Epoch 4/5: steps 560 Discriminator Loss: 1.3600... Generator Loss: 0.7361 Epoch 4/5: steps 570 Discriminator Loss: 1.2351... Generator Loss: 0.8058 Epoch 4/5: steps 580 Discriminator Loss: 1.1181... Generator Loss: 0.8057 Epoch 4/5: steps 590 Discriminator Loss: 1.2883... Generator Loss: 1.0067 Epoch 4/5: steps 600 Discriminator Loss: 1.2216... Generator Loss: 0.9023
Epoch 4/5: steps 610 Discriminator Loss: 1.2106... Generator Loss: 0.7804 Epoch 4/5: steps 620 Discriminator Loss: 1.1689... Generator Loss: 0.8748 Epoch 4/5: steps 630 Discriminator Loss: 1.1500... Generator Loss: 0.9993 Epoch 4/5: steps 640 Discriminator Loss: 1.1316... Generator Loss: 0.8884 Epoch 4/5: steps 650 Discriminator Loss: 1.3073... Generator Loss: 0.8524 Epoch 4/5: steps 660 Discriminator Loss: 1.1512... Generator Loss: 0.7925 Epoch 4/5: steps 670 Discriminator Loss: 1.2112... Generator Loss: 0.7632 Epoch 4/5: steps 680 Discriminator Loss: 1.2060... Generator Loss: 0.9069 Epoch 4/5: steps 690 Discriminator Loss: 1.2489... Generator Loss: 0.8031 Epoch 4/5: steps 700 Discriminator Loss: 1.2330... Generator Loss: 0.7585
Epoch 4/5: steps 710 Discriminator Loss: 1.2002... Generator Loss: 0.9351 Epoch 4/5: steps 720 Discriminator Loss: 1.2217... Generator Loss: 0.9819 Epoch 4/5: steps 730 Discriminator Loss: 1.2256... Generator Loss: 0.8524 Epoch 4/5: steps 740 Discriminator Loss: 1.1991... Generator Loss: 0.8855 Epoch 4/5: steps 750 Discriminator Loss: 1.2398... Generator Loss: 0.9129 Epoch 4/5: steps 760 Discriminator Loss: 1.1582... Generator Loss: 0.8817 Epoch 4/5: steps 770 Discriminator Loss: 1.1584... Generator Loss: 0.8825 Epoch 4/5: steps 780 Discriminator Loss: 1.2876... Generator Loss: 0.9633 Epoch 4/5: steps 790 Discriminator Loss: 1.2553... Generator Loss: 0.7881 Epoch 4/5: steps 800 Discriminator Loss: 1.1758... Generator Loss: 0.7709
Epoch 4/5: steps 810 Discriminator Loss: 1.2737... Generator Loss: 0.8504 Epoch 4/5: steps 820 Discriminator Loss: 1.2463... Generator Loss: 0.9140 Epoch 4/5: steps 830 Discriminator Loss: 1.2408... Generator Loss: 0.7867 Epoch 4/5: steps 840 Discriminator Loss: 1.1111... Generator Loss: 0.9228 Epoch 4/5: steps 850 Discriminator Loss: 1.0900... Generator Loss: 0.8492 Epoch 4/5: steps 860 Discriminator Loss: 1.3349... Generator Loss: 0.7496 Epoch 4/5: steps 870 Discriminator Loss: 1.3066... Generator Loss: 0.8732 Epoch 4/5: steps 880 Discriminator Loss: 1.3360... Generator Loss: 0.7567 Epoch 4/5: steps 890 Discriminator Loss: 1.2521... Generator Loss: 0.9974 Epoch 4/5: steps 900 Discriminator Loss: 1.1658... Generator Loss: 0.9843
Epoch 4/5: steps 910 Discriminator Loss: 1.1693... Generator Loss: 0.9124 Epoch 4/5: steps 920 Discriminator Loss: 1.1750... Generator Loss: 0.9294 Epoch 4/5: steps 930 Discriminator Loss: 1.2118... Generator Loss: 1.3457 Epoch 5/5: steps 10 Discriminator Loss: 1.2365... Generator Loss: 0.8353 Epoch 5/5: steps 20 Discriminator Loss: 1.1747... Generator Loss: 0.9517 Epoch 5/5: steps 30 Discriminator Loss: 1.2270... Generator Loss: 1.0212 Epoch 5/5: steps 40 Discriminator Loss: 1.3032... Generator Loss: 0.9202 Epoch 5/5: steps 50 Discriminator Loss: 1.2603... Generator Loss: 0.8113 Epoch 5/5: steps 60 Discriminator Loss: 1.2751... Generator Loss: 0.8774 Epoch 5/5: steps 70 Discriminator Loss: 1.1329... Generator Loss: 1.0367 Epoch 5/5: steps 80 Discriminator Loss: 1.1700... Generator Loss: 0.7979 Epoch 5/5: steps 90 Discriminator Loss: 1.1978... Generator Loss: 0.9437 Epoch 5/5: steps 100 Discriminator Loss: 1.2754... Generator Loss: 0.8440
Epoch 5/5: steps 110 Discriminator Loss: 1.2537... Generator Loss: 0.7744 Epoch 5/5: steps 120 Discriminator Loss: 1.1048... Generator Loss: 0.9113 Epoch 5/5: steps 130 Discriminator Loss: 1.2169... Generator Loss: 0.8684 Epoch 5/5: steps 140 Discriminator Loss: 1.1830... Generator Loss: 0.9321 Epoch 5/5: steps 150 Discriminator Loss: 1.1704... Generator Loss: 1.0042 Epoch 5/5: steps 160 Discriminator Loss: 1.2089... Generator Loss: 0.8081 Epoch 5/5: steps 170 Discriminator Loss: 1.2559... Generator Loss: 0.8581 Epoch 5/5: steps 180 Discriminator Loss: 1.2655... Generator Loss: 1.0973 Epoch 5/5: steps 190 Discriminator Loss: 1.2451... Generator Loss: 0.8099 Epoch 5/5: steps 200 Discriminator Loss: 1.1923... Generator Loss: 0.7932
Epoch 5/5: steps 210 Discriminator Loss: 1.1728... Generator Loss: 0.9068 Epoch 5/5: steps 220 Discriminator Loss: 1.2716... Generator Loss: 0.8435 Epoch 5/5: steps 230 Discriminator Loss: 1.2146... Generator Loss: 0.8418 Epoch 5/5: steps 240 Discriminator Loss: 1.1913... Generator Loss: 0.8966 Epoch 5/5: steps 250 Discriminator Loss: 1.1390... Generator Loss: 0.8711 Epoch 5/5: steps 260 Discriminator Loss: 1.1398... Generator Loss: 0.8148 Epoch 5/5: steps 270 Discriminator Loss: 1.1774... Generator Loss: 0.9099 Epoch 5/5: steps 280 Discriminator Loss: 1.2769... Generator Loss: 0.9407 Epoch 5/5: steps 290 Discriminator Loss: 1.0673... Generator Loss: 0.9111 Epoch 5/5: steps 300 Discriminator Loss: 1.2513... Generator Loss: 0.8377
Epoch 5/5: steps 310 Discriminator Loss: 1.1610... Generator Loss: 0.8845 Epoch 5/5: steps 320 Discriminator Loss: 1.2140... Generator Loss: 0.7764 Epoch 5/5: steps 330 Discriminator Loss: 1.0956... Generator Loss: 0.9278 Epoch 5/5: steps 340 Discriminator Loss: 1.2056... Generator Loss: 0.8081 Epoch 5/5: steps 350 Discriminator Loss: 1.2411... Generator Loss: 1.0508 Epoch 5/5: steps 360 Discriminator Loss: 1.1422... Generator Loss: 0.8309 Epoch 5/5: steps 370 Discriminator Loss: 1.2807... Generator Loss: 0.8977 Epoch 5/5: steps 380 Discriminator Loss: 1.0676... Generator Loss: 1.0083 Epoch 5/5: steps 390 Discriminator Loss: 1.2205... Generator Loss: 0.8509 Epoch 5/5: steps 400 Discriminator Loss: 1.1850... Generator Loss: 0.9421
Epoch 5/5: steps 410 Discriminator Loss: 1.1944... Generator Loss: 0.8115 Epoch 5/5: steps 420 Discriminator Loss: 1.2317... Generator Loss: 0.8815 Epoch 5/5: steps 430 Discriminator Loss: 1.3063... Generator Loss: 0.8562 Epoch 5/5: steps 440 Discriminator Loss: 1.1364... Generator Loss: 0.8675 Epoch 5/5: steps 450 Discriminator Loss: 1.1176... Generator Loss: 1.0965 Epoch 5/5: steps 460 Discriminator Loss: 1.1850... Generator Loss: 1.0061 Epoch 5/5: steps 470 Discriminator Loss: 1.1881... Generator Loss: 0.8295 Epoch 5/5: steps 480 Discriminator Loss: 1.2789... Generator Loss: 0.8525 Epoch 5/5: steps 490 Discriminator Loss: 1.2419... Generator Loss: 0.9056 Epoch 5/5: steps 500 Discriminator Loss: 1.0881... Generator Loss: 0.9364
Epoch 5/5: steps 510 Discriminator Loss: 1.2047... Generator Loss: 0.9329 Epoch 5/5: steps 520 Discriminator Loss: 1.1226... Generator Loss: 0.8741 Epoch 5/5: steps 530 Discriminator Loss: 1.2145... Generator Loss: 1.1240 Epoch 5/5: steps 540 Discriminator Loss: 1.1712... Generator Loss: 0.8723 Epoch 5/5: steps 550 Discriminator Loss: 1.1502... Generator Loss: 1.0452 Epoch 5/5: steps 560 Discriminator Loss: 1.1782... Generator Loss: 0.7501 Epoch 5/5: steps 570 Discriminator Loss: 1.1934... Generator Loss: 1.0688 Epoch 5/5: steps 580 Discriminator Loss: 1.2108... Generator Loss: 0.8773 Epoch 5/5: steps 590 Discriminator Loss: 1.2533... Generator Loss: 1.0228 Epoch 5/5: steps 600 Discriminator Loss: 1.2114... Generator Loss: 0.7463
Epoch 5/5: steps 610 Discriminator Loss: 1.1731... Generator Loss: 0.9741 Epoch 5/5: steps 620 Discriminator Loss: 1.2583... Generator Loss: 0.9904 Epoch 5/5: steps 630 Discriminator Loss: 1.3415... Generator Loss: 1.1311 Epoch 5/5: steps 640 Discriminator Loss: 1.1972... Generator Loss: 0.9621 Epoch 5/5: steps 650 Discriminator Loss: 1.3447... Generator Loss: 0.9178 Epoch 5/5: steps 660 Discriminator Loss: 1.2612... Generator Loss: 0.9730 Epoch 5/5: steps 670 Discriminator Loss: 1.1502... Generator Loss: 0.9383 Epoch 5/5: steps 680 Discriminator Loss: 1.2611... Generator Loss: 0.8913 Epoch 5/5: steps 690 Discriminator Loss: 1.2114... Generator Loss: 1.0262 Epoch 5/5: steps 700 Discriminator Loss: 1.2293... Generator Loss: 0.9276
Epoch 5/5: steps 710 Discriminator Loss: 1.2928... Generator Loss: 0.6819 Epoch 5/5: steps 720 Discriminator Loss: 1.2784... Generator Loss: 0.8320 Epoch 5/5: steps 730 Discriminator Loss: 1.1705... Generator Loss: 0.9195 Epoch 5/5: steps 740 Discriminator Loss: 1.2154... Generator Loss: 0.8401 Epoch 5/5: steps 750 Discriminator Loss: 1.2198... Generator Loss: 0.8413 Epoch 5/5: steps 760 Discriminator Loss: 1.1540... Generator Loss: 0.8553 Epoch 5/5: steps 770 Discriminator Loss: 1.1722... Generator Loss: 0.8524 Epoch 5/5: steps 780 Discriminator Loss: 1.3064... Generator Loss: 0.8534 Epoch 5/5: steps 790 Discriminator Loss: 1.2874... Generator Loss: 0.9210 Epoch 5/5: steps 800 Discriminator Loss: 1.2771... Generator Loss: 0.8616
Epoch 5/5: steps 810 Discriminator Loss: 1.1724... Generator Loss: 1.0223 Epoch 5/5: steps 820 Discriminator Loss: 1.1291... Generator Loss: 0.9029 Epoch 5/5: steps 830 Discriminator Loss: 1.1638... Generator Loss: 1.0271 Epoch 5/5: steps 840 Discriminator Loss: 1.1339... Generator Loss: 0.7463 Epoch 5/5: steps 850 Discriminator Loss: 1.4603... Generator Loss: 0.4194 Epoch 5/5: steps 860 Discriminator Loss: 1.3639... Generator Loss: 0.9799 Epoch 5/5: steps 870 Discriminator Loss: 1.3457... Generator Loss: 0.8359 Epoch 5/5: steps 880 Discriminator Loss: 1.3679... Generator Loss: 0.9139 Epoch 5/5: steps 890 Discriminator Loss: 1.0896... Generator Loss: 0.9294 Epoch 5/5: steps 900 Discriminator Loss: 1.1603... Generator Loss: 0.8230
Epoch 5/5: steps 910 Discriminator Loss: 1.1682... Generator Loss: 0.8210 Epoch 5/5: steps 920 Discriminator Loss: 1.1668... Generator Loss: 0.7060 Epoch 5/5: steps 930 Discriminator Loss: 1.2111... Generator Loss: 1.0775
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = .0002
beta1 = .5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/5: steps 10 Discriminator Loss: 1.5192... Generator Loss: 0.6782 Epoch 1/5: steps 20 Discriminator Loss: 1.4686... Generator Loss: 0.7772 Epoch 1/5: steps 30 Discriminator Loss: 1.3323... Generator Loss: 0.7284 Epoch 1/5: steps 40 Discriminator Loss: 1.2378... Generator Loss: 0.9239 Epoch 1/5: steps 50 Discriminator Loss: 1.0628... Generator Loss: 1.0307 Epoch 1/5: steps 60 Discriminator Loss: 0.9794... Generator Loss: 1.0577 Epoch 1/5: steps 70 Discriminator Loss: 0.8427... Generator Loss: 1.2717 Epoch 1/5: steps 80 Discriminator Loss: 0.7993... Generator Loss: 1.3237 Epoch 1/5: steps 90 Discriminator Loss: 0.7460... Generator Loss: 1.1865 Epoch 1/5: steps 100 Discriminator Loss: 0.6681... Generator Loss: 1.5467
Epoch 1/5: steps 110 Discriminator Loss: 0.6745... Generator Loss: 1.6039 Epoch 1/5: steps 120 Discriminator Loss: 0.5455... Generator Loss: 1.8599 Epoch 1/5: steps 130 Discriminator Loss: 0.4885... Generator Loss: 1.7194 Epoch 1/5: steps 140 Discriminator Loss: 0.4652... Generator Loss: 1.9130 Epoch 1/5: steps 150 Discriminator Loss: 0.5569... Generator Loss: 1.9953 Epoch 1/5: steps 160 Discriminator Loss: 0.5278... Generator Loss: 1.8289 Epoch 1/5: steps 170 Discriminator Loss: 0.5327... Generator Loss: 2.1200 Epoch 1/5: steps 180 Discriminator Loss: 0.4889... Generator Loss: 1.8191 Epoch 1/5: steps 190 Discriminator Loss: 0.4039... Generator Loss: 2.4454 Epoch 1/5: steps 200 Discriminator Loss: 0.3689... Generator Loss: 2.4768
Epoch 1/5: steps 210 Discriminator Loss: 0.4191... Generator Loss: 2.7939 Epoch 1/5: steps 220 Discriminator Loss: 0.4046... Generator Loss: 2.3668 Epoch 1/5: steps 230 Discriminator Loss: 0.4185... Generator Loss: 2.4553 Epoch 1/5: steps 240 Discriminator Loss: 0.4496... Generator Loss: 2.4675 Epoch 1/5: steps 250 Discriminator Loss: 0.8382... Generator Loss: 2.0332 Epoch 1/5: steps 260 Discriminator Loss: 0.5890... Generator Loss: 1.3996 Epoch 1/5: steps 270 Discriminator Loss: 0.6819... Generator Loss: 1.3454 Epoch 1/5: steps 280 Discriminator Loss: 1.3955... Generator Loss: 0.4520 Epoch 1/5: steps 290 Discriminator Loss: 0.7761... Generator Loss: 1.3655 Epoch 1/5: steps 300 Discriminator Loss: 0.5360... Generator Loss: 1.5492
Epoch 1/5: steps 310 Discriminator Loss: 0.6289... Generator Loss: 1.9019 Epoch 1/5: steps 320 Discriminator Loss: 0.8050... Generator Loss: 0.9963 Epoch 1/5: steps 330 Discriminator Loss: 0.4926... Generator Loss: 1.8004 Epoch 1/5: steps 340 Discriminator Loss: 0.5318... Generator Loss: 1.6898 Epoch 1/5: steps 350 Discriminator Loss: 0.5728... Generator Loss: 1.7145 Epoch 1/5: steps 360 Discriminator Loss: 0.4023... Generator Loss: 2.4961 Epoch 1/5: steps 370 Discriminator Loss: 0.3638... Generator Loss: 3.3226 Epoch 1/5: steps 380 Discriminator Loss: 0.4047... Generator Loss: 2.9765 Epoch 1/5: steps 390 Discriminator Loss: 0.4360... Generator Loss: 2.0871 Epoch 1/5: steps 400 Discriminator Loss: 0.4058... Generator Loss: 2.7842
Epoch 1/5: steps 410 Discriminator Loss: 0.6540... Generator Loss: 1.3023 Epoch 1/5: steps 420 Discriminator Loss: 0.6973... Generator Loss: 1.0090 Epoch 1/5: steps 430 Discriminator Loss: 0.3561... Generator Loss: 3.6520 Epoch 1/5: steps 440 Discriminator Loss: 0.5642... Generator Loss: 1.6379 Epoch 1/5: steps 450 Discriminator Loss: 0.6127... Generator Loss: 1.2295 Epoch 1/5: steps 460 Discriminator Loss: 0.3779... Generator Loss: 3.1109 Epoch 1/5: steps 470 Discriminator Loss: 0.3635... Generator Loss: 2.1954 Epoch 1/5: steps 480 Discriminator Loss: 0.4375... Generator Loss: 8.0290 Epoch 1/5: steps 490 Discriminator Loss: 0.6376... Generator Loss: 2.7203 Epoch 1/5: steps 500 Discriminator Loss: 0.5318... Generator Loss: 1.4709
Epoch 1/5: steps 510 Discriminator Loss: 0.4356... Generator Loss: 3.1780 Epoch 1/5: steps 520 Discriminator Loss: 0.4738... Generator Loss: 1.8482 Epoch 1/5: steps 530 Discriminator Loss: 0.3973... Generator Loss: 2.5151 Epoch 1/5: steps 540 Discriminator Loss: 0.5138... Generator Loss: 1.6781 Epoch 1/5: steps 550 Discriminator Loss: 0.3654... Generator Loss: 3.0520 Epoch 1/5: steps 560 Discriminator Loss: 0.3752... Generator Loss: 3.3289 Epoch 1/5: steps 570 Discriminator Loss: 0.5028... Generator Loss: 1.4758 Epoch 1/5: steps 580 Discriminator Loss: 0.4306... Generator Loss: 3.5621 Epoch 1/5: steps 590 Discriminator Loss: 0.3273... Generator Loss: 5.0551 Epoch 1/5: steps 600 Discriminator Loss: 0.3590... Generator Loss: 3.9476
Epoch 1/5: steps 610 Discriminator Loss: 0.4265... Generator Loss: 2.5437 Epoch 1/5: steps 620 Discriminator Loss: 0.4193... Generator Loss: 4.0507 Epoch 1/5: steps 630 Discriminator Loss: 0.3707... Generator Loss: 2.8156 Epoch 1/5: steps 640 Discriminator Loss: 0.4921... Generator Loss: 3.3273 Epoch 1/5: steps 650 Discriminator Loss: 0.3383... Generator Loss: 4.1146 Epoch 1/5: steps 660 Discriminator Loss: 0.4943... Generator Loss: 1.8476 Epoch 1/5: steps 670 Discriminator Loss: 0.3974... Generator Loss: 2.9515 Epoch 1/5: steps 680 Discriminator Loss: 0.3838... Generator Loss: 2.2258 Epoch 1/5: steps 690 Discriminator Loss: 0.3646... Generator Loss: 2.6790 Epoch 1/5: steps 700 Discriminator Loss: 0.3603... Generator Loss: 2.6738
Epoch 1/5: steps 710 Discriminator Loss: 0.3577... Generator Loss: 2.8696 Epoch 1/5: steps 720 Discriminator Loss: 0.3549... Generator Loss: 2.8707 Epoch 1/5: steps 730 Discriminator Loss: 0.3916... Generator Loss: 2.1700 Epoch 1/5: steps 740 Discriminator Loss: 0.3937... Generator Loss: 2.7461 Epoch 1/5: steps 750 Discriminator Loss: 0.6986... Generator Loss: 1.1114 Epoch 1/5: steps 760 Discriminator Loss: 0.6450... Generator Loss: 1.2556 Epoch 1/5: steps 770 Discriminator Loss: 0.3840... Generator Loss: 5.2096 Epoch 1/5: steps 780 Discriminator Loss: 0.3124... Generator Loss: 7.0366 Epoch 1/5: steps 790 Discriminator Loss: 0.5434... Generator Loss: 3.4836 Epoch 1/5: steps 800 Discriminator Loss: 0.5097... Generator Loss: 1.9451
Epoch 1/5: steps 810 Discriminator Loss: 0.4832... Generator Loss: 1.7235 Epoch 1/5: steps 820 Discriminator Loss: 0.4093... Generator Loss: 2.0122 Epoch 1/5: steps 830 Discriminator Loss: 0.4718... Generator Loss: 2.3181 Epoch 1/5: steps 840 Discriminator Loss: 0.3593... Generator Loss: 2.3013 Epoch 1/5: steps 850 Discriminator Loss: 0.3818... Generator Loss: 2.5707 Epoch 1/5: steps 860 Discriminator Loss: 0.3997... Generator Loss: 2.2496 Epoch 1/5: steps 870 Discriminator Loss: 0.3905... Generator Loss: 2.2576 Epoch 1/5: steps 880 Discriminator Loss: 0.3372... Generator Loss: 3.9857 Epoch 1/5: steps 890 Discriminator Loss: 0.4761... Generator Loss: 1.6131 Epoch 1/5: steps 900 Discriminator Loss: 0.7294... Generator Loss: 1.4536
Epoch 1/5: steps 910 Discriminator Loss: 0.3868... Generator Loss: 2.7961 Epoch 1/5: steps 920 Discriminator Loss: 0.8857... Generator Loss: 3.3619 Epoch 1/5: steps 930 Discriminator Loss: 0.5110... Generator Loss: 1.5866 Epoch 1/5: steps 940 Discriminator Loss: 0.5366... Generator Loss: 1.8076 Epoch 1/5: steps 950 Discriminator Loss: 0.5036... Generator Loss: 2.5187 Epoch 1/5: steps 960 Discriminator Loss: 0.3606... Generator Loss: 3.4227 Epoch 1/5: steps 970 Discriminator Loss: 0.3711... Generator Loss: 3.2038 Epoch 1/5: steps 980 Discriminator Loss: 0.5526... Generator Loss: 1.9197 Epoch 1/5: steps 990 Discriminator Loss: 1.1375... Generator Loss: 1.0391 Epoch 1/5: steps 1000 Discriminator Loss: 0.4423... Generator Loss: 2.6213
Epoch 1/5: steps 1010 Discriminator Loss: 0.4853... Generator Loss: 1.6335 Epoch 1/5: steps 1020 Discriminator Loss: 0.5970... Generator Loss: 1.4087 Epoch 1/5: steps 1030 Discriminator Loss: 0.3876... Generator Loss: 2.5100 Epoch 1/5: steps 1040 Discriminator Loss: 0.4243... Generator Loss: 2.2860 Epoch 1/5: steps 1050 Discriminator Loss: 0.5173... Generator Loss: 1.9567 Epoch 1/5: steps 1060 Discriminator Loss: 0.4216... Generator Loss: 3.1631 Epoch 1/5: steps 1070 Discriminator Loss: 0.4385... Generator Loss: 1.8222 Epoch 1/5: steps 1080 Discriminator Loss: 0.4499... Generator Loss: 1.8186 Epoch 1/5: steps 1090 Discriminator Loss: 0.4085... Generator Loss: 2.6527 Epoch 1/5: steps 1100 Discriminator Loss: 0.4440... Generator Loss: 3.2434
Epoch 1/5: steps 1110 Discriminator Loss: 1.3348... Generator Loss: 1.7065 Epoch 1/5: steps 1120 Discriminator Loss: 0.9438... Generator Loss: 0.9319 Epoch 1/5: steps 1130 Discriminator Loss: 0.4871... Generator Loss: 2.1188 Epoch 1/5: steps 1140 Discriminator Loss: 0.5497... Generator Loss: 1.6109 Epoch 1/5: steps 1150 Discriminator Loss: 0.4281... Generator Loss: 2.6048 Epoch 1/5: steps 1160 Discriminator Loss: 0.4230... Generator Loss: 3.8257 Epoch 1/5: steps 1170 Discriminator Loss: 0.5600... Generator Loss: 2.7956 Epoch 1/5: steps 1180 Discriminator Loss: 0.4107... Generator Loss: 2.3453 Epoch 1/5: steps 1190 Discriminator Loss: 0.7474... Generator Loss: 1.1742 Epoch 1/5: steps 1200 Discriminator Loss: 0.7929... Generator Loss: 0.8963
Epoch 1/5: steps 1210 Discriminator Loss: 0.6164... Generator Loss: 1.3974 Epoch 1/5: steps 1220 Discriminator Loss: 0.5560... Generator Loss: 2.1969 Epoch 1/5: steps 1230 Discriminator Loss: 1.3992... Generator Loss: 0.7793 Epoch 1/5: steps 1240 Discriminator Loss: 0.8428... Generator Loss: 1.2415 Epoch 1/5: steps 1250 Discriminator Loss: 0.7857... Generator Loss: 0.9471 Epoch 1/5: steps 1260 Discriminator Loss: 0.6047... Generator Loss: 1.5613 Epoch 1/5: steps 1270 Discriminator Loss: 0.5788... Generator Loss: 2.1164 Epoch 1/5: steps 1280 Discriminator Loss: 0.5573... Generator Loss: 1.6513 Epoch 1/5: steps 1290 Discriminator Loss: 0.7041... Generator Loss: 2.0018 Epoch 1/5: steps 1300 Discriminator Loss: 0.5321... Generator Loss: 1.7516
Epoch 1/5: steps 1310 Discriminator Loss: 0.5017... Generator Loss: 2.5598 Epoch 1/5: steps 1320 Discriminator Loss: 0.5048... Generator Loss: 1.8457 Epoch 1/5: steps 1330 Discriminator Loss: 0.5985... Generator Loss: 1.7759 Epoch 1/5: steps 1340 Discriminator Loss: 0.5660... Generator Loss: 2.7225 Epoch 1/5: steps 1350 Discriminator Loss: 0.6831... Generator Loss: 1.2228 Epoch 1/5: steps 1360 Discriminator Loss: 1.2802... Generator Loss: 1.6086 Epoch 1/5: steps 1370 Discriminator Loss: 0.8691... Generator Loss: 0.9046 Epoch 1/5: steps 1380 Discriminator Loss: 0.7494... Generator Loss: 1.5025 Epoch 1/5: steps 1390 Discriminator Loss: 0.6133... Generator Loss: 1.4716 Epoch 1/5: steps 1400 Discriminator Loss: 0.6399... Generator Loss: 1.4458
Epoch 1/5: steps 1410 Discriminator Loss: 0.5288... Generator Loss: 2.0830 Epoch 1/5: steps 1420 Discriminator Loss: 0.6662... Generator Loss: 1.7682 Epoch 1/5: steps 1430 Discriminator Loss: 1.1669... Generator Loss: 0.7684 Epoch 1/5: steps 1440 Discriminator Loss: 0.7979... Generator Loss: 1.1564 Epoch 1/5: steps 1450 Discriminator Loss: 0.8328... Generator Loss: 1.4694 Epoch 1/5: steps 1460 Discriminator Loss: 0.5678... Generator Loss: 1.8402 Epoch 1/5: steps 1470 Discriminator Loss: 0.7120... Generator Loss: 1.3873 Epoch 1/5: steps 1480 Discriminator Loss: 2.7294... Generator Loss: 2.6079 Epoch 1/5: steps 1490 Discriminator Loss: 0.8650... Generator Loss: 1.2274 Epoch 1/5: steps 1500 Discriminator Loss: 0.7690... Generator Loss: 1.0992
Epoch 1/5: steps 1510 Discriminator Loss: 0.6657... Generator Loss: 2.1055 Epoch 1/5: steps 1520 Discriminator Loss: 0.5315... Generator Loss: 2.1053 Epoch 1/5: steps 1530 Discriminator Loss: 0.6774... Generator Loss: 1.7328 Epoch 1/5: steps 1540 Discriminator Loss: 0.8442... Generator Loss: 1.1018 Epoch 1/5: steps 1550 Discriminator Loss: 0.6471... Generator Loss: 1.7660 Epoch 1/5: steps 1560 Discriminator Loss: 1.1192... Generator Loss: 0.7474 Epoch 1/5: steps 1570 Discriminator Loss: 0.7366... Generator Loss: 1.2421 Epoch 1/5: steps 1580 Discriminator Loss: 0.6893... Generator Loss: 1.7837 Epoch 1/5: steps 1590 Discriminator Loss: 0.7469... Generator Loss: 1.4348 Epoch 1/5: steps 1600 Discriminator Loss: 1.1114... Generator Loss: 1.0684
Epoch 1/5: steps 1610 Discriminator Loss: 0.7372... Generator Loss: 1.3941 Epoch 1/5: steps 1620 Discriminator Loss: 0.7066... Generator Loss: 1.3792 Epoch 1/5: steps 1630 Discriminator Loss: 0.5655... Generator Loss: 1.5915 Epoch 1/5: steps 1640 Discriminator Loss: 0.6253... Generator Loss: 1.8856 Epoch 1/5: steps 1650 Discriminator Loss: 0.8476... Generator Loss: 1.7051 Epoch 1/5: steps 1660 Discriminator Loss: 1.6285... Generator Loss: 1.1162 Epoch 1/5: steps 1670 Discriminator Loss: 1.0232... Generator Loss: 0.9226 Epoch 1/5: steps 1680 Discriminator Loss: 0.8811... Generator Loss: 1.4122 Epoch 1/5: steps 1690 Discriminator Loss: 0.9059... Generator Loss: 1.0479 Epoch 1/5: steps 1700 Discriminator Loss: 1.0812... Generator Loss: 1.7653
Epoch 1/5: steps 1710 Discriminator Loss: 0.9287... Generator Loss: 1.0437 Epoch 1/5: steps 1720 Discriminator Loss: 0.8823... Generator Loss: 0.9486 Epoch 1/5: steps 1730 Discriminator Loss: 0.7908... Generator Loss: 1.1798 Epoch 1/5: steps 1740 Discriminator Loss: 0.8516... Generator Loss: 1.1690 Epoch 1/5: steps 1750 Discriminator Loss: 0.9553... Generator Loss: 1.4809 Epoch 1/5: steps 1760 Discriminator Loss: 0.8036... Generator Loss: 1.3647 Epoch 1/5: steps 1770 Discriminator Loss: 0.7906... Generator Loss: 1.2924 Epoch 1/5: steps 1780 Discriminator Loss: 0.6585... Generator Loss: 1.6166 Epoch 1/5: steps 1790 Discriminator Loss: 1.4312... Generator Loss: 0.9791 Epoch 1/5: steps 1800 Discriminator Loss: 0.9862... Generator Loss: 1.1298
Epoch 1/5: steps 1810 Discriminator Loss: 0.7819... Generator Loss: 1.1423 Epoch 1/5: steps 1820 Discriminator Loss: 0.8215... Generator Loss: 1.1385 Epoch 1/5: steps 1830 Discriminator Loss: 1.6482... Generator Loss: 1.0662 Epoch 1/5: steps 1840 Discriminator Loss: 0.9577... Generator Loss: 1.0366 Epoch 1/5: steps 1850 Discriminator Loss: 0.9140... Generator Loss: 1.0105 Epoch 1/5: steps 1860 Discriminator Loss: 0.8982... Generator Loss: 1.0456 Epoch 1/5: steps 1870 Discriminator Loss: 0.9821... Generator Loss: 1.0886 Epoch 1/5: steps 1880 Discriminator Loss: 0.8379... Generator Loss: 0.9970 Epoch 1/5: steps 1890 Discriminator Loss: 0.7075... Generator Loss: 1.3035 Epoch 1/5: steps 1900 Discriminator Loss: 0.7900... Generator Loss: 1.3725
Epoch 1/5: steps 1910 Discriminator Loss: 0.9137... Generator Loss: 1.1156 Epoch 1/5: steps 1920 Discriminator Loss: 0.8745... Generator Loss: 1.0000 Epoch 1/5: steps 1930 Discriminator Loss: 0.8771... Generator Loss: 1.1914 Epoch 1/5: steps 1940 Discriminator Loss: 0.8572... Generator Loss: 1.0388 Epoch 1/5: steps 1950 Discriminator Loss: 0.9922... Generator Loss: 1.0692 Epoch 1/5: steps 1960 Discriminator Loss: 0.8828... Generator Loss: 1.3633 Epoch 1/5: steps 1970 Discriminator Loss: 0.8122... Generator Loss: 1.0529 Epoch 1/5: steps 1980 Discriminator Loss: 0.8299... Generator Loss: 1.3393 Epoch 1/5: steps 1990 Discriminator Loss: 0.9517... Generator Loss: 0.9226 Epoch 1/5: steps 2000 Discriminator Loss: 1.1059... Generator Loss: 1.5172
Epoch 1/5: steps 2010 Discriminator Loss: 0.8265... Generator Loss: 1.3338 Epoch 1/5: steps 2020 Discriminator Loss: 0.8835... Generator Loss: 1.2438 Epoch 1/5: steps 2030 Discriminator Loss: 0.6896... Generator Loss: 1.5676 Epoch 1/5: steps 2040 Discriminator Loss: 0.8274... Generator Loss: 1.0837 Epoch 1/5: steps 2050 Discriminator Loss: 2.1055... Generator Loss: 0.9323 Epoch 1/5: steps 2060 Discriminator Loss: 0.7527... Generator Loss: 1.6338 Epoch 1/5: steps 2070 Discriminator Loss: 0.8502... Generator Loss: 1.4306 Epoch 1/5: steps 2080 Discriminator Loss: 0.9885... Generator Loss: 1.1921 Epoch 1/5: steps 2090 Discriminator Loss: 0.8835... Generator Loss: 1.1348 Epoch 1/5: steps 2100 Discriminator Loss: 1.1536... Generator Loss: 1.1454
Epoch 1/5: steps 2110 Discriminator Loss: 1.0045... Generator Loss: 1.1516 Epoch 1/5: steps 2120 Discriminator Loss: 0.8056... Generator Loss: 1.2898 Epoch 1/5: steps 2130 Discriminator Loss: 0.9178... Generator Loss: 1.1133 Epoch 1/5: steps 2140 Discriminator Loss: 0.9539... Generator Loss: 0.9772 Epoch 1/5: steps 2150 Discriminator Loss: 1.0962... Generator Loss: 1.1902 Epoch 1/5: steps 2160 Discriminator Loss: 0.8488... Generator Loss: 1.6010 Epoch 1/5: steps 2170 Discriminator Loss: 0.8795... Generator Loss: 1.2867 Epoch 1/5: steps 2180 Discriminator Loss: 0.8884... Generator Loss: 1.2981 Epoch 1/5: steps 2190 Discriminator Loss: 0.9436... Generator Loss: 1.0672 Epoch 1/5: steps 2200 Discriminator Loss: 0.9788... Generator Loss: 1.1014
Epoch 1/5: steps 2210 Discriminator Loss: 0.7877... Generator Loss: 1.7675 Epoch 1/5: steps 2220 Discriminator Loss: 0.8685... Generator Loss: 1.2603 Epoch 1/5: steps 2230 Discriminator Loss: 1.2230... Generator Loss: 0.8161 Epoch 1/5: steps 2240 Discriminator Loss: 0.8406... Generator Loss: 1.3064 Epoch 1/5: steps 2250 Discriminator Loss: 1.0377... Generator Loss: 1.1556 Epoch 1/5: steps 2260 Discriminator Loss: 0.9562... Generator Loss: 1.0281 Epoch 1/5: steps 2270 Discriminator Loss: 0.8191... Generator Loss: 1.2047 Epoch 1/5: steps 2280 Discriminator Loss: 1.2370... Generator Loss: 1.4199 Epoch 1/5: steps 2290 Discriminator Loss: 0.8100... Generator Loss: 1.4208 Epoch 1/5: steps 2300 Discriminator Loss: 0.8805... Generator Loss: 1.1303
Epoch 1/5: steps 2310 Discriminator Loss: 0.7443... Generator Loss: 1.5167 Epoch 1/5: steps 2320 Discriminator Loss: 1.3850... Generator Loss: 1.8433 Epoch 1/5: steps 2330 Discriminator Loss: 0.8865... Generator Loss: 1.4610 Epoch 1/5: steps 2340 Discriminator Loss: 0.9709... Generator Loss: 1.0107 Epoch 1/5: steps 2350 Discriminator Loss: 0.9399... Generator Loss: 1.0346 Epoch 1/5: steps 2360 Discriminator Loss: 0.8802... Generator Loss: 1.0496 Epoch 1/5: steps 2370 Discriminator Loss: 1.0701... Generator Loss: 1.0976 Epoch 1/5: steps 2380 Discriminator Loss: 0.8650... Generator Loss: 1.1139 Epoch 1/5: steps 2390 Discriminator Loss: 0.9265... Generator Loss: 1.0121 Epoch 1/5: steps 2400 Discriminator Loss: 0.8798... Generator Loss: 1.2124
Epoch 1/5: steps 2410 Discriminator Loss: 0.9039... Generator Loss: 1.3857 Epoch 1/5: steps 2420 Discriminator Loss: 0.9149... Generator Loss: 1.1255 Epoch 1/5: steps 2430 Discriminator Loss: 0.9558... Generator Loss: 1.0085 Epoch 1/5: steps 2440 Discriminator Loss: 1.1456... Generator Loss: 0.7047 Epoch 1/5: steps 2450 Discriminator Loss: 1.0617... Generator Loss: 1.3263 Epoch 1/5: steps 2460 Discriminator Loss: 0.9767... Generator Loss: 1.0838 Epoch 1/5: steps 2470 Discriminator Loss: 1.0289... Generator Loss: 1.1450 Epoch 1/5: steps 2480 Discriminator Loss: 0.8839... Generator Loss: 1.2910 Epoch 1/5: steps 2490 Discriminator Loss: 1.0464... Generator Loss: 1.0776 Epoch 1/5: steps 2500 Discriminator Loss: 1.1890... Generator Loss: 1.0568
Epoch 1/5: steps 2510 Discriminator Loss: 1.0467... Generator Loss: 1.1386 Epoch 1/5: steps 2520 Discriminator Loss: 0.8851... Generator Loss: 1.3686 Epoch 1/5: steps 2530 Discriminator Loss: 0.8792... Generator Loss: 1.3103 Epoch 1/5: steps 2540 Discriminator Loss: 0.8878... Generator Loss: 1.3425 Epoch 1/5: steps 2550 Discriminator Loss: 1.5234... Generator Loss: 2.1268 Epoch 1/5: steps 2560 Discriminator Loss: 1.0437... Generator Loss: 1.1740 Epoch 1/5: steps 2570 Discriminator Loss: 0.8014... Generator Loss: 1.3091 Epoch 1/5: steps 2580 Discriminator Loss: 0.9126... Generator Loss: 1.1367 Epoch 1/5: steps 2590 Discriminator Loss: 1.0781... Generator Loss: 1.1467 Epoch 1/5: steps 2600 Discriminator Loss: 1.1383... Generator Loss: 1.0628
Epoch 1/5: steps 2610 Discriminator Loss: 0.9736... Generator Loss: 1.1083 Epoch 1/5: steps 2620 Discriminator Loss: 0.9819... Generator Loss: 1.1734 Epoch 1/5: steps 2630 Discriminator Loss: 0.8670... Generator Loss: 1.1155 Epoch 1/5: steps 2640 Discriminator Loss: 0.9931... Generator Loss: 1.0198 Epoch 1/5: steps 2650 Discriminator Loss: 0.9695... Generator Loss: 1.0126 Epoch 1/5: steps 2660 Discriminator Loss: 0.8855... Generator Loss: 1.2405 Epoch 1/5: steps 2670 Discriminator Loss: 1.0197... Generator Loss: 1.0158 Epoch 1/5: steps 2680 Discriminator Loss: 1.0212... Generator Loss: 0.9492 Epoch 1/5: steps 2690 Discriminator Loss: 1.3724... Generator Loss: 0.5827 Epoch 1/5: steps 2700 Discriminator Loss: 0.9989... Generator Loss: 1.0377
Epoch 1/5: steps 2710 Discriminator Loss: 0.9090... Generator Loss: 1.2326 Epoch 1/5: steps 2720 Discriminator Loss: 1.1263... Generator Loss: 0.9125 Epoch 1/5: steps 2730 Discriminator Loss: 1.1546... Generator Loss: 0.8710 Epoch 1/5: steps 2740 Discriminator Loss: 1.0119... Generator Loss: 1.1423 Epoch 1/5: steps 2750 Discriminator Loss: 0.9631... Generator Loss: 0.8769 Epoch 1/5: steps 2760 Discriminator Loss: 1.0670... Generator Loss: 1.0637 Epoch 1/5: steps 2770 Discriminator Loss: 1.0388... Generator Loss: 0.9868 Epoch 1/5: steps 2780 Discriminator Loss: 0.9986... Generator Loss: 1.2301 Epoch 1/5: steps 2790 Discriminator Loss: 1.0503... Generator Loss: 0.9005 Epoch 1/5: steps 2800 Discriminator Loss: 0.9775... Generator Loss: 1.2664
Epoch 1/5: steps 2810 Discriminator Loss: 0.9310... Generator Loss: 1.2207 Epoch 1/5: steps 2820 Discriminator Loss: 1.0302... Generator Loss: 0.9448 Epoch 1/5: steps 2830 Discriminator Loss: 1.1382... Generator Loss: 1.4231 Epoch 1/5: steps 2840 Discriminator Loss: 1.1332... Generator Loss: 0.7797 Epoch 1/5: steps 2850 Discriminator Loss: 1.0342... Generator Loss: 1.0305 Epoch 1/5: steps 2860 Discriminator Loss: 0.9311... Generator Loss: 1.2356 Epoch 1/5: steps 2870 Discriminator Loss: 0.8863... Generator Loss: 1.2796 Epoch 1/5: steps 2880 Discriminator Loss: 0.8710... Generator Loss: 1.4018 Epoch 1/5: steps 2890 Discriminator Loss: 0.9857... Generator Loss: 1.1766 Epoch 1/5: steps 2900 Discriminator Loss: 0.9634... Generator Loss: 1.0614
Epoch 1/5: steps 2910 Discriminator Loss: 1.0492... Generator Loss: 0.9054 Epoch 1/5: steps 2920 Discriminator Loss: 0.9216... Generator Loss: 1.3683 Epoch 1/5: steps 2930 Discriminator Loss: 0.9253... Generator Loss: 1.4036 Epoch 1/5: steps 2940 Discriminator Loss: 0.9400... Generator Loss: 1.1413 Epoch 1/5: steps 2950 Discriminator Loss: 1.0726... Generator Loss: 1.1738 Epoch 1/5: steps 2960 Discriminator Loss: 1.0203... Generator Loss: 0.9954 Epoch 1/5: steps 2970 Discriminator Loss: 1.0005... Generator Loss: 1.1842 Epoch 1/5: steps 2980 Discriminator Loss: 1.0594... Generator Loss: 0.7670 Epoch 1/5: steps 2990 Discriminator Loss: 0.9745... Generator Loss: 1.3319 Epoch 1/5: steps 3000 Discriminator Loss: 0.9236... Generator Loss: 1.1443
Epoch 1/5: steps 3010 Discriminator Loss: 1.2315... Generator Loss: 0.7986 Epoch 1/5: steps 3020 Discriminator Loss: 1.0439... Generator Loss: 0.9808 Epoch 1/5: steps 3030 Discriminator Loss: 1.1482... Generator Loss: 0.9569 Epoch 1/5: steps 3040 Discriminator Loss: 1.0568... Generator Loss: 1.0912 Epoch 1/5: steps 3050 Discriminator Loss: 0.9641... Generator Loss: 1.0761 Epoch 1/5: steps 3060 Discriminator Loss: 0.9607... Generator Loss: 1.4017 Epoch 1/5: steps 3070 Discriminator Loss: 1.0473... Generator Loss: 1.1858 Epoch 1/5: steps 3080 Discriminator Loss: 0.9647... Generator Loss: 1.1380 Epoch 1/5: steps 3090 Discriminator Loss: 0.8903... Generator Loss: 1.1073 Epoch 1/5: steps 3100 Discriminator Loss: 1.0502... Generator Loss: 0.9545
Epoch 1/5: steps 3110 Discriminator Loss: 0.9966... Generator Loss: 1.1361 Epoch 1/5: steps 3120 Discriminator Loss: 1.0542... Generator Loss: 1.0757 Epoch 1/5: steps 3130 Discriminator Loss: 0.9085... Generator Loss: 1.1598 Epoch 1/5: steps 3140 Discriminator Loss: 0.8577... Generator Loss: 1.4509 Epoch 1/5: steps 3150 Discriminator Loss: 1.0505... Generator Loss: 0.9161 Epoch 1/5: steps 3160 Discriminator Loss: 0.9571... Generator Loss: 0.9476 Epoch 2/5: steps 10 Discriminator Loss: 0.9513... Generator Loss: 1.0009 Epoch 2/5: steps 20 Discriminator Loss: 0.9089... Generator Loss: 1.0309 Epoch 2/5: steps 30 Discriminator Loss: 0.9648... Generator Loss: 0.9539 Epoch 2/5: steps 40 Discriminator Loss: 1.0128... Generator Loss: 1.3739 Epoch 2/5: steps 50 Discriminator Loss: 0.9731... Generator Loss: 1.2394 Epoch 2/5: steps 60 Discriminator Loss: 1.0640... Generator Loss: 1.1633 Epoch 2/5: steps 70 Discriminator Loss: 1.0442... Generator Loss: 0.9452 Epoch 2/5: steps 80 Discriminator Loss: 1.0961... Generator Loss: 1.1855 Epoch 2/5: steps 90 Discriminator Loss: 1.0631... Generator Loss: 1.1375 Epoch 2/5: steps 100 Discriminator Loss: 1.0723... Generator Loss: 0.9448
Epoch 2/5: steps 110 Discriminator Loss: 3.0456... Generator Loss: 3.6715 Epoch 2/5: steps 120 Discriminator Loss: 1.1878... Generator Loss: 0.8886 Epoch 2/5: steps 130 Discriminator Loss: 1.0612... Generator Loss: 1.0380 Epoch 2/5: steps 140 Discriminator Loss: 0.9800... Generator Loss: 1.2457 Epoch 2/5: steps 150 Discriminator Loss: 1.0058... Generator Loss: 1.2075 Epoch 2/5: steps 160 Discriminator Loss: 0.8951... Generator Loss: 1.4459 Epoch 2/5: steps 170 Discriminator Loss: 1.0948... Generator Loss: 0.8462 Epoch 2/5: steps 180 Discriminator Loss: 1.0242... Generator Loss: 0.9555 Epoch 2/5: steps 190 Discriminator Loss: 0.9894... Generator Loss: 1.0599 Epoch 2/5: steps 200 Discriminator Loss: 1.0931... Generator Loss: 0.8677
Epoch 2/5: steps 210 Discriminator Loss: 1.1787... Generator Loss: 1.1793 Epoch 2/5: steps 220 Discriminator Loss: 1.0963... Generator Loss: 0.9211 Epoch 2/5: steps 230 Discriminator Loss: 1.0963... Generator Loss: 0.9769 Epoch 2/5: steps 240 Discriminator Loss: 1.0181... Generator Loss: 1.1393 Epoch 2/5: steps 250 Discriminator Loss: 1.1949... Generator Loss: 0.7207 Epoch 2/5: steps 260 Discriminator Loss: 1.0530... Generator Loss: 1.0139 Epoch 2/5: steps 270 Discriminator Loss: 0.9681... Generator Loss: 1.1447 Epoch 2/5: steps 280 Discriminator Loss: 1.0185... Generator Loss: 1.1123 Epoch 2/5: steps 290 Discriminator Loss: 0.8713... Generator Loss: 1.4731 Epoch 2/5: steps 300 Discriminator Loss: 1.0988... Generator Loss: 1.0868
Epoch 2/5: steps 310 Discriminator Loss: 0.9443... Generator Loss: 1.1756 Epoch 2/5: steps 320 Discriminator Loss: 0.9673... Generator Loss: 1.0369 Epoch 2/5: steps 330 Discriminator Loss: 1.0226... Generator Loss: 0.7214 Epoch 2/5: steps 340 Discriminator Loss: 1.1452... Generator Loss: 0.9638 Epoch 2/5: steps 350 Discriminator Loss: 1.0417... Generator Loss: 1.1911 Epoch 2/5: steps 360 Discriminator Loss: 1.0059... Generator Loss: 0.9069 Epoch 2/5: steps 370 Discriminator Loss: 1.0774... Generator Loss: 1.1252 Epoch 2/5: steps 380 Discriminator Loss: 0.8755... Generator Loss: 1.2493 Epoch 2/5: steps 390 Discriminator Loss: 1.2082... Generator Loss: 1.0348 Epoch 2/5: steps 400 Discriminator Loss: 1.0973... Generator Loss: 0.9458
Epoch 2/5: steps 410 Discriminator Loss: 1.0749... Generator Loss: 0.9217 Epoch 2/5: steps 420 Discriminator Loss: 0.9351... Generator Loss: 1.3273 Epoch 2/5: steps 430 Discriminator Loss: 1.1782... Generator Loss: 1.1621 Epoch 2/5: steps 440 Discriminator Loss: 1.1261... Generator Loss: 0.8610 Epoch 2/5: steps 450 Discriminator Loss: 1.0176... Generator Loss: 1.0962 Epoch 2/5: steps 460 Discriminator Loss: 1.0881... Generator Loss: 0.9081 Epoch 2/5: steps 470 Discriminator Loss: 0.9345... Generator Loss: 1.1950 Epoch 2/5: steps 480 Discriminator Loss: 1.1722... Generator Loss: 1.2263 Epoch 2/5: steps 490 Discriminator Loss: 1.0826... Generator Loss: 1.0263 Epoch 2/5: steps 500 Discriminator Loss: 0.7970... Generator Loss: 1.9242
Epoch 2/5: steps 510 Discriminator Loss: 1.1403... Generator Loss: 0.9996 Epoch 2/5: steps 520 Discriminator Loss: 1.0595... Generator Loss: 1.0553 Epoch 2/5: steps 530 Discriminator Loss: 0.9668... Generator Loss: 1.6110 Epoch 2/5: steps 540 Discriminator Loss: 0.9805... Generator Loss: 0.9978 Epoch 2/5: steps 550 Discriminator Loss: 1.0879... Generator Loss: 0.9124 Epoch 2/5: steps 560 Discriminator Loss: 1.0406... Generator Loss: 0.8122 Epoch 2/5: steps 570 Discriminator Loss: 1.0343... Generator Loss: 0.9132 Epoch 2/5: steps 580 Discriminator Loss: 1.7881... Generator Loss: 1.8113 Epoch 2/5: steps 590 Discriminator Loss: 1.1026... Generator Loss: 0.9518 Epoch 2/5: steps 600 Discriminator Loss: 1.1224... Generator Loss: 1.0254
Epoch 2/5: steps 610 Discriminator Loss: 1.1319... Generator Loss: 0.9554 Epoch 2/5: steps 620 Discriminator Loss: 1.1312... Generator Loss: 1.0007 Epoch 2/5: steps 630 Discriminator Loss: 1.1061... Generator Loss: 0.8859 Epoch 2/5: steps 640 Discriminator Loss: 1.1834... Generator Loss: 0.8839 Epoch 2/5: steps 650 Discriminator Loss: 1.0110... Generator Loss: 1.1787 Epoch 2/5: steps 660 Discriminator Loss: 1.0788... Generator Loss: 1.2425 Epoch 2/5: steps 670 Discriminator Loss: 1.0342... Generator Loss: 1.0103 Epoch 2/5: steps 680 Discriminator Loss: 1.0954... Generator Loss: 0.8673 Epoch 2/5: steps 690 Discriminator Loss: 1.1233... Generator Loss: 1.1648 Epoch 2/5: steps 700 Discriminator Loss: 1.0804... Generator Loss: 1.0673
Epoch 2/5: steps 710 Discriminator Loss: 1.0386... Generator Loss: 1.1368 Epoch 2/5: steps 720 Discriminator Loss: 1.0726... Generator Loss: 0.9059 Epoch 2/5: steps 730 Discriminator Loss: 1.1784... Generator Loss: 0.8919 Epoch 2/5: steps 740 Discriminator Loss: 1.0021... Generator Loss: 1.0229 Epoch 2/5: steps 750 Discriminator Loss: 1.0138... Generator Loss: 1.3893 Epoch 2/5: steps 760 Discriminator Loss: 0.9063... Generator Loss: 1.3921 Epoch 2/5: steps 770 Discriminator Loss: 0.9828... Generator Loss: 1.0859 Epoch 2/5: steps 780 Discriminator Loss: 1.0399... Generator Loss: 1.1234 Epoch 2/5: steps 790 Discriminator Loss: 0.9523... Generator Loss: 1.4954 Epoch 2/5: steps 800 Discriminator Loss: 1.0931... Generator Loss: 1.0389
Epoch 2/5: steps 810 Discriminator Loss: 1.1590... Generator Loss: 1.0617 Epoch 2/5: steps 820 Discriminator Loss: 1.0195... Generator Loss: 0.8695 Epoch 2/5: steps 830 Discriminator Loss: 1.0365... Generator Loss: 0.9659 Epoch 2/5: steps 840 Discriminator Loss: 1.0653... Generator Loss: 0.9926 Epoch 2/5: steps 850 Discriminator Loss: 0.9614... Generator Loss: 1.2858 Epoch 2/5: steps 860 Discriminator Loss: 1.1676... Generator Loss: 0.9887 Epoch 2/5: steps 870 Discriminator Loss: 1.5824... Generator Loss: 1.8110 Epoch 2/5: steps 880 Discriminator Loss: 1.0776... Generator Loss: 0.8602 Epoch 2/5: steps 890 Discriminator Loss: 1.1405... Generator Loss: 0.9194 Epoch 2/5: steps 900 Discriminator Loss: 1.1150... Generator Loss: 0.8233
Epoch 2/5: steps 910 Discriminator Loss: 1.0203... Generator Loss: 0.9643 Epoch 2/5: steps 920 Discriminator Loss: 1.1321... Generator Loss: 0.7253 Epoch 2/5: steps 930 Discriminator Loss: 1.1296... Generator Loss: 0.9984 Epoch 2/5: steps 940 Discriminator Loss: 1.0927... Generator Loss: 0.9222 Epoch 2/5: steps 950 Discriminator Loss: 1.0108... Generator Loss: 1.1808 Epoch 2/5: steps 960 Discriminator Loss: 1.1047... Generator Loss: 1.0124 Epoch 2/5: steps 970 Discriminator Loss: 1.1749... Generator Loss: 0.8302 Epoch 2/5: steps 980 Discriminator Loss: 1.0707... Generator Loss: 0.9576 Epoch 2/5: steps 990 Discriminator Loss: 1.1004... Generator Loss: 1.1854 Epoch 2/5: steps 1000 Discriminator Loss: 1.1337... Generator Loss: 0.9296
Epoch 2/5: steps 1010 Discriminator Loss: 0.9925... Generator Loss: 1.1322 Epoch 2/5: steps 1020 Discriminator Loss: 1.3057... Generator Loss: 0.7724 Epoch 2/5: steps 1030 Discriminator Loss: 1.1334... Generator Loss: 0.7906 Epoch 2/5: steps 1040 Discriminator Loss: 1.0217... Generator Loss: 1.2006 Epoch 2/5: steps 1050 Discriminator Loss: 0.9193... Generator Loss: 1.1025 Epoch 2/5: steps 1060 Discriminator Loss: 0.9986... Generator Loss: 1.0013 Epoch 2/5: steps 1070 Discriminator Loss: 1.0753... Generator Loss: 1.0681 Epoch 2/5: steps 1080 Discriminator Loss: 1.0625... Generator Loss: 0.9943 Epoch 2/5: steps 1090 Discriminator Loss: 1.1039... Generator Loss: 0.9702 Epoch 2/5: steps 1100 Discriminator Loss: 0.8976... Generator Loss: 1.3294
Epoch 2/5: steps 1110 Discriminator Loss: 1.2375... Generator Loss: 0.9416 Epoch 2/5: steps 1120 Discriminator Loss: 1.0151... Generator Loss: 1.3003 Epoch 2/5: steps 1130 Discriminator Loss: 0.9982... Generator Loss: 0.9342 Epoch 2/5: steps 1140 Discriminator Loss: 0.9687... Generator Loss: 1.1147 Epoch 2/5: steps 1150 Discriminator Loss: 1.0940... Generator Loss: 1.0219 Epoch 2/5: steps 1160 Discriminator Loss: 0.9490... Generator Loss: 1.2876 Epoch 2/5: steps 1170 Discriminator Loss: 1.1351... Generator Loss: 1.1651 Epoch 2/5: steps 1180 Discriminator Loss: 1.1168... Generator Loss: 0.9185 Epoch 2/5: steps 1190 Discriminator Loss: 1.0765... Generator Loss: 1.0936 Epoch 2/5: steps 1200 Discriminator Loss: 0.9922... Generator Loss: 0.8665
Epoch 2/5: steps 1210 Discriminator Loss: 1.0865... Generator Loss: 1.0124 Epoch 2/5: steps 1220 Discriminator Loss: 0.8451... Generator Loss: 1.5676 Epoch 2/5: steps 1230 Discriminator Loss: 1.1435... Generator Loss: 0.8553 Epoch 2/5: steps 1240 Discriminator Loss: 1.1520... Generator Loss: 1.0540 Epoch 2/5: steps 1250 Discriminator Loss: 0.9916... Generator Loss: 1.0568 Epoch 2/5: steps 1260 Discriminator Loss: 1.0413... Generator Loss: 0.9512 Epoch 2/5: steps 1270 Discriminator Loss: 1.0855... Generator Loss: 1.1726 Epoch 2/5: steps 1280 Discriminator Loss: 1.0154... Generator Loss: 0.8500 Epoch 2/5: steps 1290 Discriminator Loss: 1.2460... Generator Loss: 1.3605 Epoch 2/5: steps 1300 Discriminator Loss: 1.1871... Generator Loss: 0.9588
Epoch 2/5: steps 1310 Discriminator Loss: 1.0435... Generator Loss: 1.1110 Epoch 2/5: steps 1320 Discriminator Loss: 1.0858... Generator Loss: 1.0787 Epoch 2/5: steps 1330 Discriminator Loss: 0.9503... Generator Loss: 1.1999 Epoch 2/5: steps 1340 Discriminator Loss: 1.2261... Generator Loss: 0.9566 Epoch 2/5: steps 1350 Discriminator Loss: 1.1349... Generator Loss: 1.0333 Epoch 2/5: steps 1360 Discriminator Loss: 1.0182... Generator Loss: 1.0353 Epoch 2/5: steps 1370 Discriminator Loss: 1.0615... Generator Loss: 1.0074 Epoch 2/5: steps 1380 Discriminator Loss: 1.1485... Generator Loss: 0.9712 Epoch 2/5: steps 1390 Discriminator Loss: 0.9966... Generator Loss: 0.9826 Epoch 2/5: steps 1400 Discriminator Loss: 0.8796... Generator Loss: 1.4517
Epoch 2/5: steps 1410 Discriminator Loss: 1.0986... Generator Loss: 1.0521 Epoch 2/5: steps 1420 Discriminator Loss: 1.1021... Generator Loss: 0.8807 Epoch 2/5: steps 1430 Discriminator Loss: 1.2716... Generator Loss: 1.1563 Epoch 2/5: steps 1440 Discriminator Loss: 1.1129... Generator Loss: 0.7443 Epoch 2/5: steps 1450 Discriminator Loss: 1.1086... Generator Loss: 0.9842 Epoch 2/5: steps 1460 Discriminator Loss: 1.0292... Generator Loss: 0.8766 Epoch 2/5: steps 1470 Discriminator Loss: 1.0987... Generator Loss: 0.9130 Epoch 2/5: steps 1480 Discriminator Loss: 1.0725... Generator Loss: 1.0647 Epoch 2/5: steps 1490 Discriminator Loss: 1.0478... Generator Loss: 0.9048 Epoch 2/5: steps 1500 Discriminator Loss: 1.2075... Generator Loss: 0.7230
Epoch 2/5: steps 1510 Discriminator Loss: 1.1982... Generator Loss: 0.9728 Epoch 2/5: steps 1520 Discriminator Loss: 0.9461... Generator Loss: 1.4512 Epoch 2/5: steps 1530 Discriminator Loss: 0.7667... Generator Loss: 1.4456 Epoch 2/5: steps 1540 Discriminator Loss: 2.2503... Generator Loss: 2.2863 Epoch 2/5: steps 1550 Discriminator Loss: 1.3503... Generator Loss: 0.7886 Epoch 2/5: steps 1560 Discriminator Loss: 1.1599... Generator Loss: 0.8844 Epoch 2/5: steps 1570 Discriminator Loss: 1.0857... Generator Loss: 0.8434 Epoch 2/5: steps 1580 Discriminator Loss: 1.0826... Generator Loss: 1.0018 Epoch 2/5: steps 1590 Discriminator Loss: 1.1283... Generator Loss: 0.9759 Epoch 2/5: steps 1600 Discriminator Loss: 1.0111... Generator Loss: 0.9273
Epoch 2/5: steps 1610 Discriminator Loss: 1.1421... Generator Loss: 0.9763 Epoch 2/5: steps 1620 Discriminator Loss: 1.0269... Generator Loss: 1.1584 Epoch 2/5: steps 1630 Discriminator Loss: 1.1810... Generator Loss: 1.0005 Epoch 2/5: steps 1640 Discriminator Loss: 1.1050... Generator Loss: 1.0101 Epoch 2/5: steps 1650 Discriminator Loss: 1.1787... Generator Loss: 0.8538 Epoch 2/5: steps 1660 Discriminator Loss: 1.0444... Generator Loss: 1.0301 Epoch 2/5: steps 1670 Discriminator Loss: 1.1330... Generator Loss: 0.8816 Epoch 2/5: steps 1680 Discriminator Loss: 1.1359... Generator Loss: 1.0319 Epoch 2/5: steps 1690 Discriminator Loss: 1.0212... Generator Loss: 0.9861 Epoch 2/5: steps 1700 Discriminator Loss: 1.0600... Generator Loss: 1.1594
Epoch 2/5: steps 1710 Discriminator Loss: 1.1246... Generator Loss: 1.4169 Epoch 2/5: steps 1720 Discriminator Loss: 1.1355... Generator Loss: 1.3011 Epoch 2/5: steps 1730 Discriminator Loss: 1.0401... Generator Loss: 1.1416 Epoch 2/5: steps 1740 Discriminator Loss: 1.1526... Generator Loss: 1.0736 Epoch 2/5: steps 1750 Discriminator Loss: 1.1911... Generator Loss: 0.8950 Epoch 2/5: steps 1760 Discriminator Loss: 1.0609... Generator Loss: 0.8418 Epoch 2/5: steps 1770 Discriminator Loss: 1.0770... Generator Loss: 1.0011 Epoch 2/5: steps 1780 Discriminator Loss: 1.1764... Generator Loss: 0.9090 Epoch 2/5: steps 1790 Discriminator Loss: 1.1345... Generator Loss: 1.0283 Epoch 2/5: steps 1800 Discriminator Loss: 1.0057... Generator Loss: 0.8506
Epoch 2/5: steps 1810 Discriminator Loss: 1.0571... Generator Loss: 1.0817 Epoch 2/5: steps 1820 Discriminator Loss: 1.1772... Generator Loss: 0.9384 Epoch 2/5: steps 1830 Discriminator Loss: 0.9982... Generator Loss: 0.8924 Epoch 2/5: steps 1840 Discriminator Loss: 1.1435... Generator Loss: 1.0951 Epoch 2/5: steps 1850 Discriminator Loss: 1.1126... Generator Loss: 1.1564 Epoch 2/5: steps 1860 Discriminator Loss: 1.1151... Generator Loss: 0.8697 Epoch 2/5: steps 1870 Discriminator Loss: 1.1761... Generator Loss: 0.8173 Epoch 2/5: steps 1880 Discriminator Loss: 1.0994... Generator Loss: 1.1629 Epoch 2/5: steps 1890 Discriminator Loss: 0.9068... Generator Loss: 1.4301 Epoch 2/5: steps 1900 Discriminator Loss: 1.1656... Generator Loss: 0.9998
Epoch 2/5: steps 1910 Discriminator Loss: 1.0637... Generator Loss: 1.0236 Epoch 2/5: steps 1920 Discriminator Loss: 1.0786... Generator Loss: 0.9556 Epoch 2/5: steps 1930 Discriminator Loss: 1.0984... Generator Loss: 0.9896 Epoch 2/5: steps 1940 Discriminator Loss: 1.1422... Generator Loss: 0.8431 Epoch 2/5: steps 1950 Discriminator Loss: 1.0154... Generator Loss: 1.1697 Epoch 2/5: steps 1960 Discriminator Loss: 1.1184... Generator Loss: 0.9380 Epoch 2/5: steps 1970 Discriminator Loss: 1.0564... Generator Loss: 1.2006 Epoch 2/5: steps 1980 Discriminator Loss: 1.0582... Generator Loss: 1.0983 Epoch 2/5: steps 1990 Discriminator Loss: 1.0233... Generator Loss: 1.1262 Epoch 2/5: steps 2000 Discriminator Loss: 1.0882... Generator Loss: 1.0111
Epoch 2/5: steps 2010 Discriminator Loss: 1.1081... Generator Loss: 0.8593 Epoch 2/5: steps 2020 Discriminator Loss: 1.0056... Generator Loss: 0.8846 Epoch 2/5: steps 2030 Discriminator Loss: 1.1476... Generator Loss: 0.9668 Epoch 2/5: steps 2040 Discriminator Loss: 1.3656... Generator Loss: 0.5746 Epoch 2/5: steps 2050 Discriminator Loss: 1.5879... Generator Loss: 1.6032 Epoch 2/5: steps 2060 Discriminator Loss: 1.3245... Generator Loss: 0.7777 Epoch 2/5: steps 2070 Discriminator Loss: 1.2364... Generator Loss: 0.9551 Epoch 2/5: steps 2080 Discriminator Loss: 1.0140... Generator Loss: 0.9944 Epoch 2/5: steps 2090 Discriminator Loss: 1.1997... Generator Loss: 0.9416 Epoch 2/5: steps 2100 Discriminator Loss: 1.1552... Generator Loss: 0.8777
Epoch 2/5: steps 2110 Discriminator Loss: 1.1913... Generator Loss: 0.9290 Epoch 2/5: steps 2120 Discriminator Loss: 1.1388... Generator Loss: 1.0006 Epoch 2/5: steps 2130 Discriminator Loss: 1.2017... Generator Loss: 0.9576 Epoch 2/5: steps 2140 Discriminator Loss: 1.1217... Generator Loss: 0.9352 Epoch 2/5: steps 2150 Discriminator Loss: 1.0828... Generator Loss: 1.2065 Epoch 2/5: steps 2160 Discriminator Loss: 1.1722... Generator Loss: 1.0165 Epoch 2/5: steps 2170 Discriminator Loss: 1.0227... Generator Loss: 1.1053 Epoch 2/5: steps 2180 Discriminator Loss: 1.2459... Generator Loss: 0.9310 Epoch 2/5: steps 2190 Discriminator Loss: 1.1507... Generator Loss: 0.9423 Epoch 2/5: steps 2200 Discriminator Loss: 1.1225... Generator Loss: 0.8286
Epoch 2/5: steps 2210 Discriminator Loss: 1.1059... Generator Loss: 1.0943 Epoch 2/5: steps 2220 Discriminator Loss: 1.1094... Generator Loss: 1.0923 Epoch 2/5: steps 2230 Discriminator Loss: 1.1882... Generator Loss: 0.9035 Epoch 2/5: steps 2240 Discriminator Loss: 1.3371... Generator Loss: 1.2041 Epoch 2/5: steps 2250 Discriminator Loss: 1.1694... Generator Loss: 0.9930 Epoch 2/5: steps 2260 Discriminator Loss: 1.0600... Generator Loss: 1.2182 Epoch 2/5: steps 2270 Discriminator Loss: 1.1322... Generator Loss: 0.8398 Epoch 2/5: steps 2280 Discriminator Loss: 1.1246... Generator Loss: 0.9094 Epoch 2/5: steps 2290 Discriminator Loss: 1.0136... Generator Loss: 1.1405 Epoch 2/5: steps 2300 Discriminator Loss: 0.9179... Generator Loss: 1.2044
Epoch 2/5: steps 2310 Discriminator Loss: 1.0941... Generator Loss: 0.9767 Epoch 2/5: steps 2320 Discriminator Loss: 1.1175... Generator Loss: 0.7704 Epoch 2/5: steps 2330 Discriminator Loss: 1.1160... Generator Loss: 0.9417 Epoch 2/5: steps 2340 Discriminator Loss: 1.1138... Generator Loss: 0.9113 Epoch 2/5: steps 2350 Discriminator Loss: 1.1108... Generator Loss: 1.1997 Epoch 2/5: steps 2360 Discriminator Loss: 1.0514... Generator Loss: 1.0067 Epoch 2/5: steps 2370 Discriminator Loss: 1.1423... Generator Loss: 0.7875 Epoch 2/5: steps 2380 Discriminator Loss: 1.0557... Generator Loss: 1.2864 Epoch 2/5: steps 2390 Discriminator Loss: 1.1677... Generator Loss: 0.8228 Epoch 2/5: steps 2400 Discriminator Loss: 0.9502... Generator Loss: 1.4423
Epoch 2/5: steps 2410 Discriminator Loss: 1.1468... Generator Loss: 0.7225 Epoch 2/5: steps 2420 Discriminator Loss: 0.9365... Generator Loss: 1.3546 Epoch 2/5: steps 2430 Discriminator Loss: 1.0938... Generator Loss: 0.9526 Epoch 2/5: steps 2440 Discriminator Loss: 1.0048... Generator Loss: 1.1066 Epoch 2/5: steps 2450 Discriminator Loss: 1.1325... Generator Loss: 1.0597 Epoch 2/5: steps 2460 Discriminator Loss: 1.0915... Generator Loss: 1.0232 Epoch 2/5: steps 2470 Discriminator Loss: 1.0709... Generator Loss: 0.9598 Epoch 2/5: steps 2480 Discriminator Loss: 1.0864... Generator Loss: 0.9559 Epoch 2/5: steps 2490 Discriminator Loss: 1.0797... Generator Loss: 1.0110 Epoch 2/5: steps 2500 Discriminator Loss: 1.0041... Generator Loss: 1.1867
Epoch 2/5: steps 2510 Discriminator Loss: 1.1658... Generator Loss: 1.1304 Epoch 2/5: steps 2520 Discriminator Loss: 1.0764... Generator Loss: 0.9249 Epoch 2/5: steps 2530 Discriminator Loss: 1.1163... Generator Loss: 1.0690 Epoch 2/5: steps 2540 Discriminator Loss: 1.1743... Generator Loss: 0.9240 Epoch 2/5: steps 2550 Discriminator Loss: 1.2223... Generator Loss: 0.7754 Epoch 2/5: steps 2560 Discriminator Loss: 1.0612... Generator Loss: 1.3221 Epoch 2/5: steps 2570 Discriminator Loss: 1.1526... Generator Loss: 0.8322 Epoch 2/5: steps 2580 Discriminator Loss: 1.1155... Generator Loss: 1.0310 Epoch 2/5: steps 2590 Discriminator Loss: 1.2661... Generator Loss: 0.8686 Epoch 2/5: steps 2600 Discriminator Loss: 1.0793... Generator Loss: 1.0791
Epoch 2/5: steps 2610 Discriminator Loss: 1.1604... Generator Loss: 0.9674 Epoch 2/5: steps 2620 Discriminator Loss: 0.9836... Generator Loss: 1.0764 Epoch 2/5: steps 2630 Discriminator Loss: 1.1999... Generator Loss: 0.8016 Epoch 2/5: steps 2640 Discriminator Loss: 1.2235... Generator Loss: 0.8673 Epoch 2/5: steps 2650 Discriminator Loss: 1.0990... Generator Loss: 1.0154 Epoch 2/5: steps 2660 Discriminator Loss: 1.0070... Generator Loss: 1.0738 Epoch 2/5: steps 2670 Discriminator Loss: 1.2557... Generator Loss: 1.0117 Epoch 2/5: steps 2680 Discriminator Loss: 1.1117... Generator Loss: 1.1468 Epoch 2/5: steps 2690 Discriminator Loss: 1.1933... Generator Loss: 0.8885 Epoch 2/5: steps 2700 Discriminator Loss: 1.0683... Generator Loss: 0.8789
Epoch 2/5: steps 2710 Discriminator Loss: 1.0433... Generator Loss: 1.0422 Epoch 2/5: steps 2720 Discriminator Loss: 1.1983... Generator Loss: 0.8647 Epoch 2/5: steps 2730 Discriminator Loss: 1.2751... Generator Loss: 0.8407 Epoch 2/5: steps 2740 Discriminator Loss: 1.1188... Generator Loss: 0.9770 Epoch 2/5: steps 2750 Discriminator Loss: 1.1363... Generator Loss: 0.9327 Epoch 2/5: steps 2760 Discriminator Loss: 1.3099... Generator Loss: 0.7773 Epoch 2/5: steps 2770 Discriminator Loss: 1.0886... Generator Loss: 1.0346 Epoch 2/5: steps 2780 Discriminator Loss: 0.9903... Generator Loss: 1.0998 Epoch 2/5: steps 2790 Discriminator Loss: 1.1443... Generator Loss: 0.9055 Epoch 2/5: steps 2800 Discriminator Loss: 1.1750... Generator Loss: 1.0609
Epoch 2/5: steps 2810 Discriminator Loss: 1.3567... Generator Loss: 0.6405 Epoch 2/5: steps 2820 Discriminator Loss: 1.1615... Generator Loss: 0.9730 Epoch 2/5: steps 2830 Discriminator Loss: 1.0391... Generator Loss: 1.0735 Epoch 2/5: steps 2840 Discriminator Loss: 1.0792... Generator Loss: 1.3615 Epoch 2/5: steps 2850 Discriminator Loss: 1.2196... Generator Loss: 0.9844 Epoch 2/5: steps 2860 Discriminator Loss: 1.1082... Generator Loss: 1.0550 Epoch 2/5: steps 2870 Discriminator Loss: 1.1360... Generator Loss: 0.7489 Epoch 2/5: steps 2880 Discriminator Loss: 1.1232... Generator Loss: 1.0916 Epoch 2/5: steps 2890 Discriminator Loss: 1.2339... Generator Loss: 0.9622 Epoch 2/5: steps 2900 Discriminator Loss: 1.2084... Generator Loss: 0.9743
Epoch 2/5: steps 2910 Discriminator Loss: 1.1557... Generator Loss: 0.8364 Epoch 2/5: steps 2920 Discriminator Loss: 1.1478... Generator Loss: 0.8858 Epoch 2/5: steps 2930 Discriminator Loss: 1.0860... Generator Loss: 0.9280 Epoch 2/5: steps 2940 Discriminator Loss: 1.1649... Generator Loss: 0.9621 Epoch 2/5: steps 2950 Discriminator Loss: 1.2830... Generator Loss: 1.0055 Epoch 2/5: steps 2960 Discriminator Loss: 1.0597... Generator Loss: 1.2126 Epoch 2/5: steps 2970 Discriminator Loss: 1.1978... Generator Loss: 1.0878 Epoch 2/5: steps 2980 Discriminator Loss: 1.0449... Generator Loss: 0.9444 Epoch 2/5: steps 2990 Discriminator Loss: 1.1401... Generator Loss: 1.1263 Epoch 2/5: steps 3000 Discriminator Loss: 1.1488... Generator Loss: 1.0040
Epoch 2/5: steps 3010 Discriminator Loss: 1.2629... Generator Loss: 0.9285 Epoch 2/5: steps 3020 Discriminator Loss: 1.1576... Generator Loss: 0.8187 Epoch 2/5: steps 3030 Discriminator Loss: 1.1451... Generator Loss: 1.1741 Epoch 2/5: steps 3040 Discriminator Loss: 1.1797... Generator Loss: 0.8137 Epoch 2/5: steps 3050 Discriminator Loss: 1.1760... Generator Loss: 0.8652 Epoch 2/5: steps 3060 Discriminator Loss: 1.1502... Generator Loss: 0.8373 Epoch 2/5: steps 3070 Discriminator Loss: 1.0120... Generator Loss: 1.0700 Epoch 2/5: steps 3080 Discriminator Loss: 0.9827... Generator Loss: 1.0101 Epoch 2/5: steps 3090 Discriminator Loss: 1.1742... Generator Loss: 0.8963 Epoch 2/5: steps 3100 Discriminator Loss: 1.1988... Generator Loss: 0.9051
Epoch 2/5: steps 3110 Discriminator Loss: 1.3447... Generator Loss: 1.1558 Epoch 2/5: steps 3120 Discriminator Loss: 1.2030... Generator Loss: 0.9113 Epoch 2/5: steps 3130 Discriminator Loss: 1.1507... Generator Loss: 1.1441 Epoch 2/5: steps 3140 Discriminator Loss: 1.3306... Generator Loss: 0.6585 Epoch 2/5: steps 3150 Discriminator Loss: 1.1490... Generator Loss: 0.9547 Epoch 2/5: steps 3160 Discriminator Loss: 1.0753... Generator Loss: 0.9091 Epoch 3/5: steps 10 Discriminator Loss: 1.2107... Generator Loss: 1.1816 Epoch 3/5: steps 20 Discriminator Loss: 1.0272... Generator Loss: 0.8997 Epoch 3/5: steps 30 Discriminator Loss: 1.1334... Generator Loss: 1.0019 Epoch 3/5: steps 40 Discriminator Loss: 1.3026... Generator Loss: 0.7344 Epoch 3/5: steps 50 Discriminator Loss: 1.1740... Generator Loss: 1.1280 Epoch 3/5: steps 60 Discriminator Loss: 0.9640... Generator Loss: 1.2134 Epoch 3/5: steps 70 Discriminator Loss: 1.2714... Generator Loss: 0.9206 Epoch 3/5: steps 80 Discriminator Loss: 1.1528... Generator Loss: 1.0862 Epoch 3/5: steps 90 Discriminator Loss: 1.1031... Generator Loss: 0.8482 Epoch 3/5: steps 100 Discriminator Loss: 1.1505... Generator Loss: 0.8621
Epoch 3/5: steps 110 Discriminator Loss: 1.1160... Generator Loss: 1.1118 Epoch 3/5: steps 120 Discriminator Loss: 1.0868... Generator Loss: 0.9585 Epoch 3/5: steps 130 Discriminator Loss: 1.0294... Generator Loss: 0.8146 Epoch 3/5: steps 140 Discriminator Loss: 1.0824... Generator Loss: 0.8389 Epoch 3/5: steps 150 Discriminator Loss: 1.0946... Generator Loss: 1.0828 Epoch 3/5: steps 160 Discriminator Loss: 1.0888... Generator Loss: 0.7163 Epoch 3/5: steps 170 Discriminator Loss: 1.1781... Generator Loss: 0.9098 Epoch 3/5: steps 180 Discriminator Loss: 1.0502... Generator Loss: 0.9919 Epoch 3/5: steps 190 Discriminator Loss: 1.0926... Generator Loss: 0.8893 Epoch 3/5: steps 200 Discriminator Loss: 1.0218... Generator Loss: 1.0080
Epoch 3/5: steps 210 Discriminator Loss: 1.2110... Generator Loss: 0.7684 Epoch 3/5: steps 220 Discriminator Loss: 1.7148... Generator Loss: 1.8061 Epoch 3/5: steps 230 Discriminator Loss: 1.1923... Generator Loss: 0.9591 Epoch 3/5: steps 240 Discriminator Loss: 1.0963... Generator Loss: 0.8420 Epoch 3/5: steps 250 Discriminator Loss: 1.1340... Generator Loss: 1.0301 Epoch 3/5: steps 260 Discriminator Loss: 1.0482... Generator Loss: 1.4949 Epoch 3/5: steps 270 Discriminator Loss: 1.2185... Generator Loss: 0.8880 Epoch 3/5: steps 280 Discriminator Loss: 1.1530... Generator Loss: 0.7064 Epoch 3/5: steps 290 Discriminator Loss: 1.1803... Generator Loss: 0.8267 Epoch 3/5: steps 300 Discriminator Loss: 1.0991... Generator Loss: 1.0062
Epoch 3/5: steps 310 Discriminator Loss: 1.1351... Generator Loss: 0.9815 Epoch 3/5: steps 320 Discriminator Loss: 1.0283... Generator Loss: 0.8599 Epoch 3/5: steps 330 Discriminator Loss: 1.2189... Generator Loss: 0.7599 Epoch 3/5: steps 340 Discriminator Loss: 1.2358... Generator Loss: 1.0632 Epoch 3/5: steps 350 Discriminator Loss: 1.0998... Generator Loss: 0.8563 Epoch 3/5: steps 360 Discriminator Loss: 1.1446... Generator Loss: 0.9667 Epoch 3/5: steps 370 Discriminator Loss: 1.1272... Generator Loss: 1.1068 Epoch 3/5: steps 380 Discriminator Loss: 1.2337... Generator Loss: 0.7942 Epoch 3/5: steps 390 Discriminator Loss: 1.1911... Generator Loss: 1.1999 Epoch 3/5: steps 400 Discriminator Loss: 1.1255... Generator Loss: 1.0290
Epoch 3/5: steps 410 Discriminator Loss: 1.1249... Generator Loss: 0.9210 Epoch 3/5: steps 420 Discriminator Loss: 1.2326... Generator Loss: 0.7901 Epoch 3/5: steps 430 Discriminator Loss: 1.1798... Generator Loss: 0.9852 Epoch 3/5: steps 440 Discriminator Loss: 1.2438... Generator Loss: 0.8723 Epoch 3/5: steps 450 Discriminator Loss: 1.1959... Generator Loss: 0.9188 Epoch 3/5: steps 460 Discriminator Loss: 1.3170... Generator Loss: 0.8741 Epoch 3/5: steps 470 Discriminator Loss: 1.0597... Generator Loss: 0.9829 Epoch 3/5: steps 480 Discriminator Loss: 1.1518... Generator Loss: 0.8945 Epoch 3/5: steps 490 Discriminator Loss: 1.2048... Generator Loss: 0.7715 Epoch 3/5: steps 500 Discriminator Loss: 1.0421... Generator Loss: 1.1476
Epoch 3/5: steps 510 Discriminator Loss: 1.2297... Generator Loss: 0.6732 Epoch 3/5: steps 520 Discriminator Loss: 1.0726... Generator Loss: 1.1317 Epoch 3/5: steps 530 Discriminator Loss: 1.0827... Generator Loss: 0.8914 Epoch 3/5: steps 540 Discriminator Loss: 1.2911... Generator Loss: 0.8951 Epoch 3/5: steps 550 Discriminator Loss: 1.2239... Generator Loss: 0.9233 Epoch 3/5: steps 560 Discriminator Loss: 1.1671... Generator Loss: 0.9908 Epoch 3/5: steps 570 Discriminator Loss: 1.1158... Generator Loss: 1.2364 Epoch 3/5: steps 580 Discriminator Loss: 1.0905... Generator Loss: 0.8772 Epoch 3/5: steps 590 Discriminator Loss: 1.1480... Generator Loss: 1.0069 Epoch 3/5: steps 600 Discriminator Loss: 1.1592... Generator Loss: 0.9394
Epoch 3/5: steps 610 Discriminator Loss: 1.1767... Generator Loss: 0.8424 Epoch 3/5: steps 620 Discriminator Loss: 1.1078... Generator Loss: 0.8234 Epoch 3/5: steps 630 Discriminator Loss: 1.0430... Generator Loss: 0.9112 Epoch 3/5: steps 640 Discriminator Loss: 1.0986... Generator Loss: 0.9923 Epoch 3/5: steps 650 Discriminator Loss: 1.1577... Generator Loss: 0.9007 Epoch 3/5: steps 660 Discriminator Loss: 1.2072... Generator Loss: 1.2854 Epoch 3/5: steps 670 Discriminator Loss: 1.2674... Generator Loss: 0.8604 Epoch 3/5: steps 680 Discriminator Loss: 1.1631... Generator Loss: 0.8238 Epoch 3/5: steps 690 Discriminator Loss: 1.1390... Generator Loss: 0.8361 Epoch 3/5: steps 700 Discriminator Loss: 1.1828... Generator Loss: 0.8031
Epoch 3/5: steps 710 Discriminator Loss: 1.2179... Generator Loss: 1.1138 Epoch 3/5: steps 720 Discriminator Loss: 1.2700... Generator Loss: 1.1453 Epoch 3/5: steps 730 Discriminator Loss: 1.3029... Generator Loss: 0.8615 Epoch 3/5: steps 740 Discriminator Loss: 1.2382... Generator Loss: 0.7957 Epoch 3/5: steps 750 Discriminator Loss: 1.1988... Generator Loss: 0.9966 Epoch 3/5: steps 760 Discriminator Loss: 1.2364... Generator Loss: 0.7098 Epoch 3/5: steps 770 Discriminator Loss: 1.2377... Generator Loss: 1.0239 Epoch 3/5: steps 780 Discriminator Loss: 1.2328... Generator Loss: 1.0467 Epoch 3/5: steps 790 Discriminator Loss: 1.1960... Generator Loss: 0.8526 Epoch 3/5: steps 800 Discriminator Loss: 1.1613... Generator Loss: 1.0065
Epoch 3/5: steps 810 Discriminator Loss: 1.2708... Generator Loss: 0.9070 Epoch 3/5: steps 820 Discriminator Loss: 1.1915... Generator Loss: 0.7023 Epoch 3/5: steps 830 Discriminator Loss: 1.2018... Generator Loss: 0.9775 Epoch 3/5: steps 840 Discriminator Loss: 1.1096... Generator Loss: 1.0423 Epoch 3/5: steps 850 Discriminator Loss: 1.1008... Generator Loss: 1.0035 Epoch 3/5: steps 860 Discriminator Loss: 1.2966... Generator Loss: 0.8535 Epoch 3/5: steps 870 Discriminator Loss: 1.1816... Generator Loss: 0.8049 Epoch 3/5: steps 880 Discriminator Loss: 1.1384... Generator Loss: 0.9179 Epoch 3/5: steps 890 Discriminator Loss: 1.3108... Generator Loss: 0.7342 Epoch 3/5: steps 900 Discriminator Loss: 1.2052... Generator Loss: 0.8875
Epoch 3/5: steps 910 Discriminator Loss: 1.0750... Generator Loss: 1.0262 Epoch 3/5: steps 920 Discriminator Loss: 1.1806... Generator Loss: 0.9126 Epoch 3/5: steps 930 Discriminator Loss: 1.1956... Generator Loss: 0.9701 Epoch 3/5: steps 940 Discriminator Loss: 1.1566... Generator Loss: 0.8930 Epoch 3/5: steps 950 Discriminator Loss: 1.0927... Generator Loss: 1.0730 Epoch 3/5: steps 960 Discriminator Loss: 1.0839... Generator Loss: 1.0036 Epoch 3/5: steps 970 Discriminator Loss: 1.0959... Generator Loss: 0.8014 Epoch 3/5: steps 980 Discriminator Loss: 1.0819... Generator Loss: 1.0426 Epoch 3/5: steps 990 Discriminator Loss: 1.1936... Generator Loss: 0.8693 Epoch 3/5: steps 1000 Discriminator Loss: 1.1997... Generator Loss: 0.8320
Epoch 3/5: steps 1010 Discriminator Loss: 1.1366... Generator Loss: 0.9977 Epoch 3/5: steps 1020 Discriminator Loss: 0.9640... Generator Loss: 1.4430 Epoch 3/5: steps 1030 Discriminator Loss: 1.2543... Generator Loss: 0.9527 Epoch 3/5: steps 1040 Discriminator Loss: 1.1758... Generator Loss: 0.9441 Epoch 3/5: steps 1050 Discriminator Loss: 1.0763... Generator Loss: 0.8840 Epoch 3/5: steps 1060 Discriminator Loss: 1.0976... Generator Loss: 0.9897 Epoch 3/5: steps 1070 Discriminator Loss: 1.2121... Generator Loss: 0.9718 Epoch 3/5: steps 1080 Discriminator Loss: 1.1160... Generator Loss: 0.8877 Epoch 3/5: steps 1090 Discriminator Loss: 1.1164... Generator Loss: 1.0385 Epoch 3/5: steps 1100 Discriminator Loss: 1.1969... Generator Loss: 0.9801
Epoch 3/5: steps 1110 Discriminator Loss: 1.3220... Generator Loss: 0.8831 Epoch 3/5: steps 1120 Discriminator Loss: 1.1345... Generator Loss: 0.9276 Epoch 3/5: steps 1130 Discriminator Loss: 1.1621... Generator Loss: 0.8914 Epoch 3/5: steps 1140 Discriminator Loss: 1.1807... Generator Loss: 0.8024 Epoch 3/5: steps 1150 Discriminator Loss: 1.1126... Generator Loss: 0.9379 Epoch 3/5: steps 1160 Discriminator Loss: 1.1152... Generator Loss: 0.8745 Epoch 3/5: steps 1170 Discriminator Loss: 1.1452... Generator Loss: 0.9545 Epoch 3/5: steps 1180 Discriminator Loss: 1.1324... Generator Loss: 0.9000 Epoch 3/5: steps 1190 Discriminator Loss: 1.1918... Generator Loss: 0.9430 Epoch 3/5: steps 1200 Discriminator Loss: 1.1561... Generator Loss: 0.8252
Epoch 3/5: steps 1210 Discriminator Loss: 1.1011... Generator Loss: 0.9890 Epoch 3/5: steps 1220 Discriminator Loss: 1.0523... Generator Loss: 0.8920 Epoch 3/5: steps 1230 Discriminator Loss: 1.0482... Generator Loss: 0.9782 Epoch 3/5: steps 1240 Discriminator Loss: 1.2361... Generator Loss: 0.9202 Epoch 3/5: steps 1250 Discriminator Loss: 1.2280... Generator Loss: 0.8606 Epoch 3/5: steps 1260 Discriminator Loss: 1.2689... Generator Loss: 0.8671 Epoch 3/5: steps 1270 Discriminator Loss: 1.1354... Generator Loss: 0.9984 Epoch 3/5: steps 1280 Discriminator Loss: 1.0889... Generator Loss: 0.9979 Epoch 3/5: steps 1290 Discriminator Loss: 1.0697... Generator Loss: 1.1020 Epoch 3/5: steps 1300 Discriminator Loss: 1.2180... Generator Loss: 0.9661
Epoch 3/5: steps 1310 Discriminator Loss: 1.1830... Generator Loss: 0.8176 Epoch 3/5: steps 1320 Discriminator Loss: 1.1003... Generator Loss: 0.9788 Epoch 3/5: steps 1330 Discriminator Loss: 1.0054... Generator Loss: 1.1952 Epoch 3/5: steps 1340 Discriminator Loss: 1.0939... Generator Loss: 1.1964 Epoch 3/5: steps 1350 Discriminator Loss: 1.1285... Generator Loss: 0.9062 Epoch 3/5: steps 1360 Discriminator Loss: 1.0961... Generator Loss: 0.9079 Epoch 3/5: steps 1370 Discriminator Loss: 1.2598... Generator Loss: 1.0955 Epoch 3/5: steps 1380 Discriminator Loss: 1.1051... Generator Loss: 0.9610 Epoch 3/5: steps 1390 Discriminator Loss: 1.0990... Generator Loss: 0.8565 Epoch 3/5: steps 1400 Discriminator Loss: 1.0764... Generator Loss: 1.0453
Epoch 3/5: steps 1410 Discriminator Loss: 1.1066... Generator Loss: 0.8699 Epoch 3/5: steps 1420 Discriminator Loss: 1.1566... Generator Loss: 1.0167 Epoch 3/5: steps 1430 Discriminator Loss: 1.1564... Generator Loss: 1.1124 Epoch 3/5: steps 1440 Discriminator Loss: 1.1506... Generator Loss: 0.8721 Epoch 3/5: steps 1450 Discriminator Loss: 1.0813... Generator Loss: 1.1203 Epoch 3/5: steps 1460 Discriminator Loss: 1.0590... Generator Loss: 1.0777 Epoch 3/5: steps 1470 Discriminator Loss: 1.2073... Generator Loss: 1.0185 Epoch 3/5: steps 1480 Discriminator Loss: 1.2612... Generator Loss: 0.8812 Epoch 3/5: steps 1490 Discriminator Loss: 1.2053... Generator Loss: 0.7830 Epoch 3/5: steps 1500 Discriminator Loss: 1.2058... Generator Loss: 0.7608
Epoch 3/5: steps 1510 Discriminator Loss: 1.1902... Generator Loss: 0.8592 Epoch 3/5: steps 1520 Discriminator Loss: 1.1380... Generator Loss: 0.9267 Epoch 3/5: steps 1530 Discriminator Loss: 1.1655... Generator Loss: 1.1823 Epoch 3/5: steps 1540 Discriminator Loss: 1.2631... Generator Loss: 0.9006 Epoch 3/5: steps 1550 Discriminator Loss: 1.2114... Generator Loss: 0.7861 Epoch 3/5: steps 1560 Discriminator Loss: 1.2164... Generator Loss: 1.3366 Epoch 3/5: steps 1570 Discriminator Loss: 1.1137... Generator Loss: 0.8583 Epoch 3/5: steps 1580 Discriminator Loss: 1.1130... Generator Loss: 1.0619 Epoch 3/5: steps 1590 Discriminator Loss: 1.0903... Generator Loss: 0.8644 Epoch 3/5: steps 1600 Discriminator Loss: 1.1997... Generator Loss: 1.0226
Epoch 3/5: steps 1610 Discriminator Loss: 1.2037... Generator Loss: 0.9778 Epoch 3/5: steps 1620 Discriminator Loss: 1.3419... Generator Loss: 0.8228 Epoch 3/5: steps 1630 Discriminator Loss: 1.2654... Generator Loss: 0.7285 Epoch 3/5: steps 1640 Discriminator Loss: 1.2342... Generator Loss: 1.0062 Epoch 3/5: steps 1650 Discriminator Loss: 1.1853... Generator Loss: 0.8450 Epoch 3/5: steps 1660 Discriminator Loss: 1.1706... Generator Loss: 0.8726 Epoch 3/5: steps 1670 Discriminator Loss: 1.2217... Generator Loss: 0.7860 Epoch 3/5: steps 1680 Discriminator Loss: 1.1479... Generator Loss: 0.9692 Epoch 3/5: steps 1690 Discriminator Loss: 1.1641... Generator Loss: 0.9924 Epoch 3/5: steps 1700 Discriminator Loss: 1.1229... Generator Loss: 0.8866
Epoch 3/5: steps 1710 Discriminator Loss: 1.0806... Generator Loss: 1.1209 Epoch 3/5: steps 1720 Discriminator Loss: 1.0987... Generator Loss: 0.9922 Epoch 3/5: steps 1730 Discriminator Loss: 1.0338... Generator Loss: 1.1109 Epoch 3/5: steps 1740 Discriminator Loss: 1.1042... Generator Loss: 1.0231 Epoch 3/5: steps 1750 Discriminator Loss: 1.2901... Generator Loss: 0.8242 Epoch 3/5: steps 1760 Discriminator Loss: 1.1739... Generator Loss: 0.8033 Epoch 3/5: steps 1770 Discriminator Loss: 1.1649... Generator Loss: 0.8919 Epoch 3/5: steps 1780 Discriminator Loss: 1.0992... Generator Loss: 1.0475 Epoch 3/5: steps 1790 Discriminator Loss: 1.1459... Generator Loss: 0.7891 Epoch 3/5: steps 1800 Discriminator Loss: 1.3054... Generator Loss: 0.7876
Epoch 3/5: steps 1810 Discriminator Loss: 1.2755... Generator Loss: 1.2049 Epoch 3/5: steps 1820 Discriminator Loss: 1.2220... Generator Loss: 0.8453 Epoch 3/5: steps 1830 Discriminator Loss: 1.1473... Generator Loss: 0.8668 Epoch 3/5: steps 1840 Discriminator Loss: 1.3405... Generator Loss: 0.8967 Epoch 3/5: steps 1850 Discriminator Loss: 1.1793... Generator Loss: 0.8907 Epoch 3/5: steps 1860 Discriminator Loss: 1.2013... Generator Loss: 1.1764 Epoch 3/5: steps 1870 Discriminator Loss: 1.2384... Generator Loss: 0.8154 Epoch 3/5: steps 1880 Discriminator Loss: 1.2404... Generator Loss: 0.8361 Epoch 3/5: steps 1890 Discriminator Loss: 1.1109... Generator Loss: 0.9582 Epoch 3/5: steps 1900 Discriminator Loss: 1.1495... Generator Loss: 1.0413
Epoch 3/5: steps 1910 Discriminator Loss: 1.1438... Generator Loss: 0.8079 Epoch 3/5: steps 1920 Discriminator Loss: 1.2062... Generator Loss: 0.9619 Epoch 3/5: steps 1930 Discriminator Loss: 1.1393... Generator Loss: 1.1763 Epoch 3/5: steps 1940 Discriminator Loss: 1.1638... Generator Loss: 0.8625 Epoch 3/5: steps 1950 Discriminator Loss: 1.3945... Generator Loss: 0.6419 Epoch 3/5: steps 1960 Discriminator Loss: 1.4370... Generator Loss: 0.6834 Epoch 3/5: steps 1970 Discriminator Loss: 1.3297... Generator Loss: 0.8449 Epoch 3/5: steps 1980 Discriminator Loss: 1.1446... Generator Loss: 0.9645 Epoch 3/5: steps 1990 Discriminator Loss: 1.1704... Generator Loss: 0.9133 Epoch 3/5: steps 2000 Discriminator Loss: 1.2209... Generator Loss: 0.7299
Epoch 3/5: steps 2010 Discriminator Loss: 1.1302... Generator Loss: 0.9448 Epoch 3/5: steps 2020 Discriminator Loss: 1.0919... Generator Loss: 0.9990 Epoch 3/5: steps 2030 Discriminator Loss: 1.2657... Generator Loss: 0.8864 Epoch 3/5: steps 2040 Discriminator Loss: 1.2311... Generator Loss: 0.7806 Epoch 3/5: steps 2050 Discriminator Loss: 1.1287... Generator Loss: 0.8290 Epoch 3/5: steps 2060 Discriminator Loss: 1.2169... Generator Loss: 0.8648 Epoch 3/5: steps 2070 Discriminator Loss: 1.1790... Generator Loss: 0.8556 Epoch 3/5: steps 2080 Discriminator Loss: 0.9980... Generator Loss: 1.0518 Epoch 3/5: steps 2090 Discriminator Loss: 1.1903... Generator Loss: 0.8267 Epoch 3/5: steps 2100 Discriminator Loss: 1.1571... Generator Loss: 0.8429
Epoch 3/5: steps 2110 Discriminator Loss: 1.1471... Generator Loss: 0.8407 Epoch 3/5: steps 2120 Discriminator Loss: 1.1539... Generator Loss: 0.8271 Epoch 3/5: steps 2130 Discriminator Loss: 1.2940... Generator Loss: 0.7694 Epoch 3/5: steps 2140 Discriminator Loss: 1.0618... Generator Loss: 0.9723 Epoch 3/5: steps 2150 Discriminator Loss: 1.1496... Generator Loss: 0.9614 Epoch 3/5: steps 2160 Discriminator Loss: 1.2465... Generator Loss: 0.8877 Epoch 3/5: steps 2170 Discriminator Loss: 1.1405... Generator Loss: 1.0805 Epoch 3/5: steps 2180 Discriminator Loss: 1.1395... Generator Loss: 1.0283 Epoch 3/5: steps 2190 Discriminator Loss: 1.2066... Generator Loss: 0.9450 Epoch 3/5: steps 2200 Discriminator Loss: 1.1101... Generator Loss: 0.7952
Epoch 3/5: steps 2210 Discriminator Loss: 1.1495... Generator Loss: 0.9014 Epoch 3/5: steps 2220 Discriminator Loss: 1.2288... Generator Loss: 0.8224 Epoch 3/5: steps 2230 Discriminator Loss: 1.1837... Generator Loss: 0.8893 Epoch 3/5: steps 2240 Discriminator Loss: 1.1818... Generator Loss: 1.1458 Epoch 3/5: steps 2250 Discriminator Loss: 1.2341... Generator Loss: 0.9504 Epoch 3/5: steps 2260 Discriminator Loss: 1.2223... Generator Loss: 0.8107 Epoch 3/5: steps 2270 Discriminator Loss: 1.0840... Generator Loss: 0.9349 Epoch 3/5: steps 2280 Discriminator Loss: 1.2640... Generator Loss: 0.9237 Epoch 3/5: steps 2290 Discriminator Loss: 1.1599... Generator Loss: 0.9537 Epoch 3/5: steps 2300 Discriminator Loss: 1.3866... Generator Loss: 1.3911
Epoch 3/5: steps 2310 Discriminator Loss: 1.4021... Generator Loss: 0.7569 Epoch 3/5: steps 2320 Discriminator Loss: 1.1568... Generator Loss: 0.9173 Epoch 3/5: steps 2330 Discriminator Loss: 1.1918... Generator Loss: 1.5274 Epoch 3/5: steps 2340 Discriminator Loss: 1.0966... Generator Loss: 0.9718 Epoch 3/5: steps 2350 Discriminator Loss: 1.8522... Generator Loss: 1.9333 Epoch 3/5: steps 2360 Discriminator Loss: 1.3429... Generator Loss: 0.9409 Epoch 3/5: steps 2370 Discriminator Loss: 1.2493... Generator Loss: 0.9851 Epoch 3/5: steps 2380 Discriminator Loss: 1.2016... Generator Loss: 0.9491 Epoch 3/5: steps 2390 Discriminator Loss: 1.2424... Generator Loss: 0.7762 Epoch 3/5: steps 2400 Discriminator Loss: 1.1956... Generator Loss: 0.8692
Epoch 3/5: steps 2410 Discriminator Loss: 1.2862... Generator Loss: 0.7734 Epoch 3/5: steps 2420 Discriminator Loss: 1.1479... Generator Loss: 0.8819 Epoch 3/5: steps 2430 Discriminator Loss: 1.2186... Generator Loss: 0.8161 Epoch 3/5: steps 2440 Discriminator Loss: 1.1180... Generator Loss: 0.8755 Epoch 3/5: steps 2450 Discriminator Loss: 1.2136... Generator Loss: 0.9765 Epoch 3/5: steps 2460 Discriminator Loss: 1.1215... Generator Loss: 0.9008 Epoch 3/5: steps 2470 Discriminator Loss: 1.3138... Generator Loss: 0.9970 Epoch 3/5: steps 2480 Discriminator Loss: 1.0885... Generator Loss: 1.0049 Epoch 3/5: steps 2490 Discriminator Loss: 1.1205... Generator Loss: 0.9803 Epoch 3/5: steps 2500 Discriminator Loss: 1.1566... Generator Loss: 0.9210
Epoch 3/5: steps 2510 Discriminator Loss: 1.1512... Generator Loss: 0.8148 Epoch 3/5: steps 2520 Discriminator Loss: 1.0531... Generator Loss: 0.9289 Epoch 3/5: steps 2530 Discriminator Loss: 1.1962... Generator Loss: 0.8293 Epoch 3/5: steps 2540 Discriminator Loss: 1.2820... Generator Loss: 0.8435 Epoch 3/5: steps 2550 Discriminator Loss: 1.2016... Generator Loss: 0.9945 Epoch 3/5: steps 2560 Discriminator Loss: 1.2056... Generator Loss: 0.7903 Epoch 3/5: steps 2570 Discriminator Loss: 1.2517... Generator Loss: 0.8856 Epoch 3/5: steps 2580 Discriminator Loss: 1.1432... Generator Loss: 0.9097 Epoch 3/5: steps 2590 Discriminator Loss: 1.1521... Generator Loss: 0.8859 Epoch 3/5: steps 2600 Discriminator Loss: 1.1912... Generator Loss: 1.0028
Epoch 3/5: steps 2610 Discriminator Loss: 1.1412... Generator Loss: 1.0590 Epoch 3/5: steps 2620 Discriminator Loss: 1.1386... Generator Loss: 0.9250 Epoch 3/5: steps 2630 Discriminator Loss: 1.1286... Generator Loss: 1.1911 Epoch 3/5: steps 2640 Discriminator Loss: 1.1961... Generator Loss: 0.8180 Epoch 3/5: steps 2650 Discriminator Loss: 1.1347... Generator Loss: 1.0594 Epoch 3/5: steps 2660 Discriminator Loss: 1.1630... Generator Loss: 0.9311 Epoch 3/5: steps 2670 Discriminator Loss: 1.1821... Generator Loss: 0.9157 Epoch 3/5: steps 2680 Discriminator Loss: 1.2137... Generator Loss: 1.0527 Epoch 3/5: steps 2690 Discriminator Loss: 1.1797... Generator Loss: 0.8407 Epoch 3/5: steps 2700 Discriminator Loss: 1.1702... Generator Loss: 0.9149
Epoch 3/5: steps 2710 Discriminator Loss: 1.1433... Generator Loss: 0.9343 Epoch 3/5: steps 2720 Discriminator Loss: 1.2316... Generator Loss: 0.8356 Epoch 3/5: steps 2730 Discriminator Loss: 1.2721... Generator Loss: 0.7900 Epoch 3/5: steps 2740 Discriminator Loss: 1.1509... Generator Loss: 0.9519 Epoch 3/5: steps 2750 Discriminator Loss: 1.1389... Generator Loss: 1.1834 Epoch 3/5: steps 2760 Discriminator Loss: 1.2558... Generator Loss: 0.8812 Epoch 3/5: steps 2770 Discriminator Loss: 1.3077... Generator Loss: 0.7349 Epoch 3/5: steps 2780 Discriminator Loss: 1.1358... Generator Loss: 0.8280 Epoch 3/5: steps 2790 Discriminator Loss: 1.1564... Generator Loss: 0.9085 Epoch 3/5: steps 2800 Discriminator Loss: 1.0785... Generator Loss: 1.0245
Epoch 3/5: steps 2810 Discriminator Loss: 1.2840... Generator Loss: 0.7222 Epoch 3/5: steps 2820 Discriminator Loss: 1.2584... Generator Loss: 0.7761 Epoch 3/5: steps 2830 Discriminator Loss: 1.0415... Generator Loss: 0.9779 Epoch 3/5: steps 2840 Discriminator Loss: 1.2276... Generator Loss: 1.0202 Epoch 3/5: steps 2850 Discriminator Loss: 1.1630... Generator Loss: 0.9132 Epoch 3/5: steps 2860 Discriminator Loss: 1.2346... Generator Loss: 0.9586 Epoch 3/5: steps 2870 Discriminator Loss: 1.1793... Generator Loss: 0.8653 Epoch 3/5: steps 2880 Discriminator Loss: 1.0618... Generator Loss: 1.0159 Epoch 3/5: steps 2890 Discriminator Loss: 1.1603... Generator Loss: 0.8558 Epoch 3/5: steps 2900 Discriminator Loss: 1.1828... Generator Loss: 0.9912
Epoch 3/5: steps 2910 Discriminator Loss: 1.1519... Generator Loss: 1.0092 Epoch 3/5: steps 2920 Discriminator Loss: 1.0804... Generator Loss: 0.9423 Epoch 3/5: steps 2930 Discriminator Loss: 1.1571... Generator Loss: 0.8617 Epoch 3/5: steps 2940 Discriminator Loss: 1.1512... Generator Loss: 1.0967 Epoch 3/5: steps 2950 Discriminator Loss: 1.2042... Generator Loss: 0.7822 Epoch 3/5: steps 2960 Discriminator Loss: 1.1425... Generator Loss: 0.9832 Epoch 3/5: steps 2970 Discriminator Loss: 1.2127... Generator Loss: 0.7482 Epoch 3/5: steps 2980 Discriminator Loss: 1.3192... Generator Loss: 0.8475 Epoch 3/5: steps 2990 Discriminator Loss: 1.1808... Generator Loss: 0.8771 Epoch 3/5: steps 3000 Discriminator Loss: 1.1570... Generator Loss: 1.0068
Epoch 3/5: steps 3010 Discriminator Loss: 1.0872... Generator Loss: 0.9424 Epoch 3/5: steps 3020 Discriminator Loss: 1.1862... Generator Loss: 0.8935 Epoch 3/5: steps 3030 Discriminator Loss: 1.2695... Generator Loss: 1.0046 Epoch 3/5: steps 3040 Discriminator Loss: 1.1880... Generator Loss: 1.0054 Epoch 3/5: steps 3050 Discriminator Loss: 1.1707... Generator Loss: 0.9831 Epoch 3/5: steps 3060 Discriminator Loss: 1.1865... Generator Loss: 0.9574 Epoch 3/5: steps 3070 Discriminator Loss: 1.1917... Generator Loss: 0.9253 Epoch 3/5: steps 3080 Discriminator Loss: 1.1591... Generator Loss: 1.0310 Epoch 3/5: steps 3090 Discriminator Loss: 1.1328... Generator Loss: 0.9069 Epoch 3/5: steps 3100 Discriminator Loss: 1.1648... Generator Loss: 0.7787
Epoch 3/5: steps 3110 Discriminator Loss: 1.1958... Generator Loss: 0.8838 Epoch 3/5: steps 3120 Discriminator Loss: 1.2015... Generator Loss: 0.8988 Epoch 3/5: steps 3130 Discriminator Loss: 1.1225... Generator Loss: 0.8645 Epoch 3/5: steps 3140 Discriminator Loss: 1.0582... Generator Loss: 1.0863 Epoch 3/5: steps 3150 Discriminator Loss: 1.2196... Generator Loss: 1.0086 Epoch 3/5: steps 3160 Discriminator Loss: 1.1476... Generator Loss: 0.8801 Epoch 4/5: steps 10 Discriminator Loss: 1.5667... Generator Loss: 1.7700 Epoch 4/5: steps 20 Discriminator Loss: 1.1163... Generator Loss: 0.9374 Epoch 4/5: steps 30 Discriminator Loss: 1.3060... Generator Loss: 0.7114 Epoch 4/5: steps 40 Discriminator Loss: 1.3058... Generator Loss: 0.7045 Epoch 4/5: steps 50 Discriminator Loss: 1.1628... Generator Loss: 0.8878 Epoch 4/5: steps 60 Discriminator Loss: 1.1911... Generator Loss: 0.9504 Epoch 4/5: steps 70 Discriminator Loss: 1.1839... Generator Loss: 0.8333 Epoch 4/5: steps 80 Discriminator Loss: 1.2539... Generator Loss: 0.8437 Epoch 4/5: steps 90 Discriminator Loss: 1.2419... Generator Loss: 0.8514 Epoch 4/5: steps 100 Discriminator Loss: 1.1395... Generator Loss: 0.8960
Epoch 4/5: steps 110 Discriminator Loss: 1.1815... Generator Loss: 0.8185 Epoch 4/5: steps 120 Discriminator Loss: 1.0978... Generator Loss: 0.8648 Epoch 4/5: steps 130 Discriminator Loss: 1.2530... Generator Loss: 0.8746 Epoch 4/5: steps 140 Discriminator Loss: 1.2151... Generator Loss: 0.8585 Epoch 4/5: steps 150 Discriminator Loss: 1.2759... Generator Loss: 0.8618 Epoch 4/5: steps 160 Discriminator Loss: 1.1805... Generator Loss: 0.8869 Epoch 4/5: steps 170 Discriminator Loss: 1.2062... Generator Loss: 0.9057 Epoch 4/5: steps 180 Discriminator Loss: 1.1138... Generator Loss: 1.0318 Epoch 4/5: steps 190 Discriminator Loss: 1.1783... Generator Loss: 0.7582 Epoch 4/5: steps 200 Discriminator Loss: 1.2184... Generator Loss: 0.9120
Epoch 4/5: steps 210 Discriminator Loss: 1.1338... Generator Loss: 0.8385 Epoch 4/5: steps 220 Discriminator Loss: 1.2310... Generator Loss: 0.8542 Epoch 4/5: steps 230 Discriminator Loss: 1.2567... Generator Loss: 0.7670 Epoch 4/5: steps 240 Discriminator Loss: 1.2113... Generator Loss: 0.8863 Epoch 4/5: steps 250 Discriminator Loss: 1.2711... Generator Loss: 0.7394 Epoch 4/5: steps 260 Discriminator Loss: 1.2732... Generator Loss: 0.8827 Epoch 4/5: steps 270 Discriminator Loss: 1.0907... Generator Loss: 0.9457 Epoch 4/5: steps 280 Discriminator Loss: 1.0086... Generator Loss: 0.9913 Epoch 4/5: steps 290 Discriminator Loss: 1.1355... Generator Loss: 0.9700 Epoch 4/5: steps 300 Discriminator Loss: 1.1980... Generator Loss: 0.9867
Epoch 4/5: steps 310 Discriminator Loss: 1.1600... Generator Loss: 0.9053 Epoch 4/5: steps 320 Discriminator Loss: 1.1273... Generator Loss: 0.9734 Epoch 4/5: steps 330 Discriminator Loss: 1.2550... Generator Loss: 0.8637 Epoch 4/5: steps 340 Discriminator Loss: 1.1808... Generator Loss: 0.8201 Epoch 4/5: steps 350 Discriminator Loss: 1.2425... Generator Loss: 0.9455 Epoch 4/5: steps 360 Discriminator Loss: 1.1337... Generator Loss: 0.8266 Epoch 4/5: steps 370 Discriminator Loss: 1.2328... Generator Loss: 1.0000 Epoch 4/5: steps 380 Discriminator Loss: 1.3687... Generator Loss: 0.9234 Epoch 4/5: steps 390 Discriminator Loss: 1.1873... Generator Loss: 1.0979 Epoch 4/5: steps 400 Discriminator Loss: 1.2090... Generator Loss: 0.8603
Epoch 4/5: steps 410 Discriminator Loss: 1.2336... Generator Loss: 0.9023 Epoch 4/5: steps 420 Discriminator Loss: 1.2656... Generator Loss: 0.8121 Epoch 4/5: steps 430 Discriminator Loss: 1.1511... Generator Loss: 0.9175 Epoch 4/5: steps 440 Discriminator Loss: 1.3171... Generator Loss: 1.0042 Epoch 4/5: steps 450 Discriminator Loss: 1.2193... Generator Loss: 1.0043 Epoch 4/5: steps 460 Discriminator Loss: 1.2419... Generator Loss: 0.8454 Epoch 4/5: steps 470 Discriminator Loss: 1.2704... Generator Loss: 0.9884 Epoch 4/5: steps 480 Discriminator Loss: 1.1768... Generator Loss: 1.0643 Epoch 4/5: steps 490 Discriminator Loss: 1.2021... Generator Loss: 0.7910 Epoch 4/5: steps 500 Discriminator Loss: 1.1264... Generator Loss: 0.8848
Epoch 4/5: steps 510 Discriminator Loss: 1.0982... Generator Loss: 1.2437 Epoch 4/5: steps 520 Discriminator Loss: 1.1208... Generator Loss: 0.8717 Epoch 4/5: steps 530 Discriminator Loss: 1.2853... Generator Loss: 0.6251 Epoch 4/5: steps 540 Discriminator Loss: 1.1898... Generator Loss: 0.8844 Epoch 4/5: steps 550 Discriminator Loss: 1.1673... Generator Loss: 0.8530 Epoch 4/5: steps 560 Discriminator Loss: 1.1492... Generator Loss: 0.9561 Epoch 4/5: steps 570 Discriminator Loss: 1.2302... Generator Loss: 0.8366 Epoch 4/5: steps 580 Discriminator Loss: 1.2232... Generator Loss: 0.9636 Epoch 4/5: steps 590 Discriminator Loss: 1.2043... Generator Loss: 0.9514 Epoch 4/5: steps 600 Discriminator Loss: 1.2604... Generator Loss: 0.8927
Epoch 4/5: steps 610 Discriminator Loss: 1.2376... Generator Loss: 0.9340 Epoch 4/5: steps 620 Discriminator Loss: 1.2202... Generator Loss: 0.9110 Epoch 4/5: steps 630 Discriminator Loss: 1.2440... Generator Loss: 0.9418 Epoch 4/5: steps 640 Discriminator Loss: 1.0930... Generator Loss: 0.8504 Epoch 4/5: steps 650 Discriminator Loss: 1.0923... Generator Loss: 0.9309 Epoch 4/5: steps 660 Discriminator Loss: 1.1403... Generator Loss: 0.9965 Epoch 4/5: steps 670 Discriminator Loss: 1.2109... Generator Loss: 0.8581 Epoch 4/5: steps 680 Discriminator Loss: 1.1647... Generator Loss: 0.9631 Epoch 4/5: steps 690 Discriminator Loss: 1.2456... Generator Loss: 0.8214 Epoch 4/5: steps 700 Discriminator Loss: 1.2935... Generator Loss: 0.7306
Epoch 4/5: steps 710 Discriminator Loss: 1.2779... Generator Loss: 0.9123 Epoch 4/5: steps 720 Discriminator Loss: 1.1135... Generator Loss: 1.0723 Epoch 4/5: steps 730 Discriminator Loss: 1.2704... Generator Loss: 0.7906 Epoch 4/5: steps 740 Discriminator Loss: 1.1543... Generator Loss: 0.8214 Epoch 4/5: steps 750 Discriminator Loss: 1.1471... Generator Loss: 0.9207 Epoch 4/5: steps 760 Discriminator Loss: 1.2422... Generator Loss: 0.8756 Epoch 4/5: steps 770 Discriminator Loss: 1.1288... Generator Loss: 0.8366 Epoch 4/5: steps 780 Discriminator Loss: 1.2719... Generator Loss: 0.7332 Epoch 4/5: steps 790 Discriminator Loss: 1.1465... Generator Loss: 0.9304 Epoch 4/5: steps 800 Discriminator Loss: 1.2191... Generator Loss: 1.0165
Epoch 4/5: steps 810 Discriminator Loss: 1.1654... Generator Loss: 0.8571 Epoch 4/5: steps 820 Discriminator Loss: 1.2602... Generator Loss: 0.7287 Epoch 4/5: steps 830 Discriminator Loss: 1.2420... Generator Loss: 0.7935 Epoch 4/5: steps 840 Discriminator Loss: 1.2553... Generator Loss: 0.9697 Epoch 4/5: steps 850 Discriminator Loss: 1.1947... Generator Loss: 0.8461 Epoch 4/5: steps 860 Discriminator Loss: 1.2963... Generator Loss: 0.8122 Epoch 4/5: steps 870 Discriminator Loss: 1.1584... Generator Loss: 0.8693 Epoch 4/5: steps 880 Discriminator Loss: 1.2633... Generator Loss: 0.9345 Epoch 4/5: steps 890 Discriminator Loss: 1.3412... Generator Loss: 1.0136 Epoch 4/5: steps 900 Discriminator Loss: 1.2200... Generator Loss: 0.8911
Epoch 4/5: steps 910 Discriminator Loss: 1.2399... Generator Loss: 0.7769 Epoch 4/5: steps 920 Discriminator Loss: 1.1283... Generator Loss: 0.9236 Epoch 4/5: steps 930 Discriminator Loss: 1.1980... Generator Loss: 0.9100 Epoch 4/5: steps 940 Discriminator Loss: 1.1905... Generator Loss: 1.0508 Epoch 4/5: steps 950 Discriminator Loss: 1.1398... Generator Loss: 0.9995 Epoch 4/5: steps 960 Discriminator Loss: 1.1322... Generator Loss: 0.8657 Epoch 4/5: steps 970 Discriminator Loss: 1.2244... Generator Loss: 1.0093 Epoch 4/5: steps 980 Discriminator Loss: 1.2722... Generator Loss: 0.9909 Epoch 4/5: steps 990 Discriminator Loss: 1.2053... Generator Loss: 0.8438 Epoch 4/5: steps 1000 Discriminator Loss: 1.1564... Generator Loss: 1.1488
Epoch 4/5: steps 1010 Discriminator Loss: 1.1714... Generator Loss: 0.9708 Epoch 4/5: steps 1020 Discriminator Loss: 1.1729... Generator Loss: 0.9360 Epoch 4/5: steps 1030 Discriminator Loss: 1.2783... Generator Loss: 1.0790 Epoch 4/5: steps 1040 Discriminator Loss: 1.1766... Generator Loss: 0.9473 Epoch 4/5: steps 1050 Discriminator Loss: 1.3170... Generator Loss: 0.8127 Epoch 4/5: steps 1060 Discriminator Loss: 1.2640... Generator Loss: 0.8188 Epoch 4/5: steps 1070 Discriminator Loss: 1.1784... Generator Loss: 0.9034 Epoch 4/5: steps 1080 Discriminator Loss: 1.2317... Generator Loss: 0.8705 Epoch 4/5: steps 1090 Discriminator Loss: 1.2768... Generator Loss: 0.7948 Epoch 4/5: steps 1100 Discriminator Loss: 1.2061... Generator Loss: 0.8845
Epoch 4/5: steps 1110 Discriminator Loss: 1.4164... Generator Loss: 1.1895 Epoch 4/5: steps 1120 Discriminator Loss: 1.1618... Generator Loss: 0.9107 Epoch 4/5: steps 1130 Discriminator Loss: 1.2545... Generator Loss: 0.8394 Epoch 4/5: steps 1140 Discriminator Loss: 1.2596... Generator Loss: 0.9626 Epoch 4/5: steps 1150 Discriminator Loss: 1.0852... Generator Loss: 0.9633 Epoch 4/5: steps 1160 Discriminator Loss: 1.1597... Generator Loss: 0.8538 Epoch 4/5: steps 1170 Discriminator Loss: 1.2741... Generator Loss: 0.8653 Epoch 4/5: steps 1180 Discriminator Loss: 1.3788... Generator Loss: 0.5644 Epoch 4/5: steps 1190 Discriminator Loss: 1.4064... Generator Loss: 1.2687 Epoch 4/5: steps 1200 Discriminator Loss: 1.1613... Generator Loss: 0.8219
Epoch 4/5: steps 1210 Discriminator Loss: 1.2508... Generator Loss: 0.9754 Epoch 4/5: steps 1220 Discriminator Loss: 1.2295... Generator Loss: 0.9521 Epoch 4/5: steps 1230 Discriminator Loss: 1.2226... Generator Loss: 0.8963 Epoch 4/5: steps 1240 Discriminator Loss: 1.2451... Generator Loss: 0.8052 Epoch 4/5: steps 1250 Discriminator Loss: 1.3034... Generator Loss: 1.0011 Epoch 4/5: steps 1260 Discriminator Loss: 1.2519... Generator Loss: 0.7939 Epoch 4/5: steps 1270 Discriminator Loss: 1.2046... Generator Loss: 0.8251 Epoch 4/5: steps 1280 Discriminator Loss: 1.1790... Generator Loss: 0.9151 Epoch 4/5: steps 1290 Discriminator Loss: 1.1566... Generator Loss: 0.8045 Epoch 4/5: steps 1300 Discriminator Loss: 1.1685... Generator Loss: 0.8600
Epoch 4/5: steps 1310 Discriminator Loss: 1.1920... Generator Loss: 0.8811 Epoch 4/5: steps 1320 Discriminator Loss: 1.2199... Generator Loss: 0.9268 Epoch 4/5: steps 1330 Discriminator Loss: 1.1782... Generator Loss: 0.7968 Epoch 4/5: steps 1340 Discriminator Loss: 1.2010... Generator Loss: 0.9277 Epoch 4/5: steps 1350 Discriminator Loss: 1.1816... Generator Loss: 0.9242 Epoch 4/5: steps 1360 Discriminator Loss: 1.2142... Generator Loss: 0.8010 Epoch 4/5: steps 1370 Discriminator Loss: 1.2577... Generator Loss: 0.9436 Epoch 4/5: steps 1380 Discriminator Loss: 1.1296... Generator Loss: 0.8569 Epoch 4/5: steps 1390 Discriminator Loss: 1.2006... Generator Loss: 0.9115 Epoch 4/5: steps 1400 Discriminator Loss: 1.1464... Generator Loss: 0.7687
Epoch 4/5: steps 1410 Discriminator Loss: 1.2995... Generator Loss: 0.9458 Epoch 4/5: steps 1420 Discriminator Loss: 1.1405... Generator Loss: 0.8751 Epoch 4/5: steps 1430 Discriminator Loss: 1.1785... Generator Loss: 0.8363 Epoch 4/5: steps 1440 Discriminator Loss: 1.2211... Generator Loss: 0.9430 Epoch 4/5: steps 1450 Discriminator Loss: 1.3015... Generator Loss: 0.8765 Epoch 4/5: steps 1460 Discriminator Loss: 1.1908... Generator Loss: 0.8770 Epoch 4/5: steps 1470 Discriminator Loss: 1.1881... Generator Loss: 0.7675 Epoch 4/5: steps 1480 Discriminator Loss: 1.1855... Generator Loss: 0.9064 Epoch 4/5: steps 1490 Discriminator Loss: 1.2278... Generator Loss: 0.9461 Epoch 4/5: steps 1500 Discriminator Loss: 1.3049... Generator Loss: 0.7890
Epoch 4/5: steps 1510 Discriminator Loss: 1.0399... Generator Loss: 0.9114 Epoch 4/5: steps 1520 Discriminator Loss: 1.3346... Generator Loss: 0.8713 Epoch 4/5: steps 1530 Discriminator Loss: 1.2132... Generator Loss: 0.8275 Epoch 4/5: steps 1540 Discriminator Loss: 1.0228... Generator Loss: 1.1396 Epoch 4/5: steps 1550 Discriminator Loss: 1.3334... Generator Loss: 0.8613 Epoch 4/5: steps 1560 Discriminator Loss: 1.1619... Generator Loss: 1.0690 Epoch 4/5: steps 1570 Discriminator Loss: 1.1236... Generator Loss: 0.8514 Epoch 4/5: steps 1580 Discriminator Loss: 1.1164... Generator Loss: 1.0202 Epoch 4/5: steps 1590 Discriminator Loss: 1.3195... Generator Loss: 0.9088 Epoch 4/5: steps 1600 Discriminator Loss: 1.2358... Generator Loss: 0.9289
Epoch 4/5: steps 1610 Discriminator Loss: 1.2201... Generator Loss: 0.8768 Epoch 4/5: steps 1620 Discriminator Loss: 1.2980... Generator Loss: 0.7527 Epoch 4/5: steps 1630 Discriminator Loss: 1.1600... Generator Loss: 0.7720 Epoch 4/5: steps 1640 Discriminator Loss: 1.3314... Generator Loss: 0.9717 Epoch 4/5: steps 1650 Discriminator Loss: 1.3633... Generator Loss: 0.7077 Epoch 4/5: steps 1660 Discriminator Loss: 1.3089... Generator Loss: 0.9121 Epoch 4/5: steps 1670 Discriminator Loss: 1.2532... Generator Loss: 0.7800 Epoch 4/5: steps 1680 Discriminator Loss: 1.2205... Generator Loss: 1.0214 Epoch 4/5: steps 1690 Discriminator Loss: 1.2067... Generator Loss: 0.8590 Epoch 4/5: steps 1700 Discriminator Loss: 1.1943... Generator Loss: 0.9253
Epoch 4/5: steps 1710 Discriminator Loss: 1.1931... Generator Loss: 0.8540 Epoch 4/5: steps 1720 Discriminator Loss: 1.1756... Generator Loss: 0.8107 Epoch 4/5: steps 1730 Discriminator Loss: 1.2307... Generator Loss: 0.9299 Epoch 4/5: steps 1740 Discriminator Loss: 1.2318... Generator Loss: 0.8286 Epoch 4/5: steps 1750 Discriminator Loss: 1.3546... Generator Loss: 0.9051 Epoch 4/5: steps 1760 Discriminator Loss: 1.1649... Generator Loss: 0.9201 Epoch 4/5: steps 1770 Discriminator Loss: 1.2428... Generator Loss: 0.7639 Epoch 4/5: steps 1780 Discriminator Loss: 1.2985... Generator Loss: 0.8311 Epoch 4/5: steps 1790 Discriminator Loss: 1.2269... Generator Loss: 0.8754 Epoch 4/5: steps 1800 Discriminator Loss: 1.2508... Generator Loss: 0.7958
Epoch 4/5: steps 1810 Discriminator Loss: 1.2373... Generator Loss: 0.7933 Epoch 4/5: steps 1820 Discriminator Loss: 1.2738... Generator Loss: 0.8303 Epoch 4/5: steps 1830 Discriminator Loss: 1.1610... Generator Loss: 0.8311 Epoch 4/5: steps 1840 Discriminator Loss: 1.1473... Generator Loss: 0.9764 Epoch 4/5: steps 1850 Discriminator Loss: 1.2226... Generator Loss: 0.9562 Epoch 4/5: steps 1860 Discriminator Loss: 1.2610... Generator Loss: 0.8472 Epoch 4/5: steps 1870 Discriminator Loss: 1.3056... Generator Loss: 0.8623 Epoch 4/5: steps 1880 Discriminator Loss: 1.2169... Generator Loss: 0.8795 Epoch 4/5: steps 1890 Discriminator Loss: 1.1341... Generator Loss: 0.9355 Epoch 4/5: steps 1900 Discriminator Loss: 1.2035... Generator Loss: 0.9893
Epoch 4/5: steps 1910 Discriminator Loss: 1.2423... Generator Loss: 1.0340 Epoch 4/5: steps 1920 Discriminator Loss: 1.2470... Generator Loss: 0.7612 Epoch 4/5: steps 1930 Discriminator Loss: 1.2265... Generator Loss: 0.8396 Epoch 4/5: steps 1940 Discriminator Loss: 1.1540... Generator Loss: 0.8220 Epoch 4/5: steps 1950 Discriminator Loss: 1.2638... Generator Loss: 0.8896 Epoch 4/5: steps 1960 Discriminator Loss: 1.2611... Generator Loss: 0.7791 Epoch 4/5: steps 1970 Discriminator Loss: 1.1766... Generator Loss: 0.8385 Epoch 4/5: steps 1980 Discriminator Loss: 1.2117... Generator Loss: 0.8799 Epoch 4/5: steps 1990 Discriminator Loss: 1.2274... Generator Loss: 0.8760 Epoch 4/5: steps 2000 Discriminator Loss: 1.1841... Generator Loss: 0.8749
Epoch 4/5: steps 2010 Discriminator Loss: 1.2906... Generator Loss: 0.8948 Epoch 4/5: steps 2020 Discriminator Loss: 1.1849... Generator Loss: 0.8977 Epoch 4/5: steps 2030 Discriminator Loss: 1.1508... Generator Loss: 0.9859 Epoch 4/5: steps 2040 Discriminator Loss: 1.1835... Generator Loss: 0.6929 Epoch 4/5: steps 2050 Discriminator Loss: 1.2320... Generator Loss: 1.0538 Epoch 4/5: steps 2060 Discriminator Loss: 1.2607... Generator Loss: 0.7364 Epoch 4/5: steps 2070 Discriminator Loss: 1.2603... Generator Loss: 0.7485 Epoch 4/5: steps 2080 Discriminator Loss: 1.2284... Generator Loss: 0.9307 Epoch 4/5: steps 2090 Discriminator Loss: 1.2030... Generator Loss: 0.8348 Epoch 4/5: steps 2100 Discriminator Loss: 1.1713... Generator Loss: 0.9754
Epoch 4/5: steps 2110 Discriminator Loss: 1.2778... Generator Loss: 0.7881 Epoch 4/5: steps 2120 Discriminator Loss: 1.2086... Generator Loss: 0.9190 Epoch 4/5: steps 2130 Discriminator Loss: 1.2833... Generator Loss: 0.7641 Epoch 4/5: steps 2140 Discriminator Loss: 1.2242... Generator Loss: 0.9494 Epoch 4/5: steps 2150 Discriminator Loss: 1.1660... Generator Loss: 0.8400 Epoch 4/5: steps 2160 Discriminator Loss: 1.1712... Generator Loss: 0.9371 Epoch 4/5: steps 2170 Discriminator Loss: 1.1544... Generator Loss: 0.9447 Epoch 4/5: steps 2180 Discriminator Loss: 1.1667... Generator Loss: 1.0562 Epoch 4/5: steps 2190 Discriminator Loss: 1.2729... Generator Loss: 0.8766 Epoch 4/5: steps 2200 Discriminator Loss: 1.2159... Generator Loss: 0.8370
Epoch 4/5: steps 2210 Discriminator Loss: 1.3539... Generator Loss: 0.9144 Epoch 4/5: steps 2220 Discriminator Loss: 1.1911... Generator Loss: 1.0012 Epoch 4/5: steps 2230 Discriminator Loss: 1.1896... Generator Loss: 0.8849 Epoch 4/5: steps 2240 Discriminator Loss: 1.2410... Generator Loss: 0.8520 Epoch 4/5: steps 2250 Discriminator Loss: 1.1714... Generator Loss: 0.7987 Epoch 4/5: steps 2260 Discriminator Loss: 1.2661... Generator Loss: 0.8151 Epoch 4/5: steps 2270 Discriminator Loss: 1.2622... Generator Loss: 0.9205 Epoch 4/5: steps 2280 Discriminator Loss: 1.1783... Generator Loss: 1.1115 Epoch 4/5: steps 2290 Discriminator Loss: 1.3264... Generator Loss: 0.8723 Epoch 4/5: steps 2300 Discriminator Loss: 1.1942... Generator Loss: 1.1061
Epoch 4/5: steps 2310 Discriminator Loss: 1.1709... Generator Loss: 0.8895 Epoch 4/5: steps 2320 Discriminator Loss: 1.2148... Generator Loss: 0.8099 Epoch 4/5: steps 2330 Discriminator Loss: 1.1220... Generator Loss: 0.9236 Epoch 4/5: steps 2340 Discriminator Loss: 1.2523... Generator Loss: 0.8172 Epoch 4/5: steps 2350 Discriminator Loss: 1.1836... Generator Loss: 0.8279 Epoch 4/5: steps 2360 Discriminator Loss: 1.1571... Generator Loss: 0.8635 Epoch 4/5: steps 2370 Discriminator Loss: 1.2437... Generator Loss: 0.7756 Epoch 4/5: steps 2380 Discriminator Loss: 1.2809... Generator Loss: 1.0439 Epoch 4/5: steps 2390 Discriminator Loss: 1.1947... Generator Loss: 0.8218 Epoch 4/5: steps 2400 Discriminator Loss: 1.1322... Generator Loss: 0.9081
Epoch 4/5: steps 2410 Discriminator Loss: 1.1981... Generator Loss: 1.0141 Epoch 4/5: steps 2420 Discriminator Loss: 1.2268... Generator Loss: 0.7609 Epoch 4/5: steps 2430 Discriminator Loss: 1.1421... Generator Loss: 0.8649 Epoch 4/5: steps 2440 Discriminator Loss: 1.2736... Generator Loss: 0.8753 Epoch 4/5: steps 2450 Discriminator Loss: 1.1893... Generator Loss: 0.8606 Epoch 4/5: steps 2460 Discriminator Loss: 1.2254... Generator Loss: 0.8722 Epoch 4/5: steps 2470 Discriminator Loss: 1.2709... Generator Loss: 0.9255 Epoch 4/5: steps 2480 Discriminator Loss: 1.1976... Generator Loss: 0.8410 Epoch 4/5: steps 2490 Discriminator Loss: 1.1818... Generator Loss: 0.8224 Epoch 4/5: steps 2500 Discriminator Loss: 1.3020... Generator Loss: 0.9435
Epoch 4/5: steps 2510 Discriminator Loss: 1.3345... Generator Loss: 0.9411 Epoch 4/5: steps 2520 Discriminator Loss: 1.1711... Generator Loss: 0.9043 Epoch 4/5: steps 2530 Discriminator Loss: 1.2716... Generator Loss: 0.8430 Epoch 4/5: steps 2540 Discriminator Loss: 1.2418... Generator Loss: 0.9343 Epoch 4/5: steps 2550 Discriminator Loss: 1.1810... Generator Loss: 0.7917 Epoch 4/5: steps 2560 Discriminator Loss: 1.3175... Generator Loss: 0.9259 Epoch 4/5: steps 2570 Discriminator Loss: 1.2229... Generator Loss: 0.8525 Epoch 4/5: steps 2580 Discriminator Loss: 1.1818... Generator Loss: 0.9415 Epoch 4/5: steps 2590 Discriminator Loss: 1.1385... Generator Loss: 0.9994 Epoch 4/5: steps 2600 Discriminator Loss: 1.2753... Generator Loss: 0.8052
Epoch 4/5: steps 2610 Discriminator Loss: 1.1671... Generator Loss: 0.8368 Epoch 4/5: steps 2620 Discriminator Loss: 1.2314... Generator Loss: 0.8691 Epoch 4/5: steps 2630 Discriminator Loss: 1.1032... Generator Loss: 0.7737 Epoch 4/5: steps 2640 Discriminator Loss: 1.3401... Generator Loss: 0.9250 Epoch 4/5: steps 2650 Discriminator Loss: 1.2090... Generator Loss: 0.7626 Epoch 4/5: steps 2660 Discriminator Loss: 1.2330... Generator Loss: 0.8745 Epoch 4/5: steps 2670 Discriminator Loss: 1.2232... Generator Loss: 0.7345 Epoch 4/5: steps 2680 Discriminator Loss: 1.0794... Generator Loss: 1.0383 Epoch 4/5: steps 2690 Discriminator Loss: 1.2416... Generator Loss: 0.8301 Epoch 4/5: steps 2700 Discriminator Loss: 1.2690... Generator Loss: 0.8239
Epoch 4/5: steps 2710 Discriminator Loss: 1.2702... Generator Loss: 0.8333 Epoch 4/5: steps 2720 Discriminator Loss: 1.3177... Generator Loss: 0.7012 Epoch 4/5: steps 2730 Discriminator Loss: 1.2871... Generator Loss: 0.8068 Epoch 4/5: steps 2740 Discriminator Loss: 1.2794... Generator Loss: 0.8665 Epoch 4/5: steps 2750 Discriminator Loss: 1.2188... Generator Loss: 0.8939 Epoch 4/5: steps 2760 Discriminator Loss: 1.3225... Generator Loss: 0.8957 Epoch 4/5: steps 2770 Discriminator Loss: 1.3631... Generator Loss: 0.8912 Epoch 4/5: steps 2780 Discriminator Loss: 1.1839... Generator Loss: 0.7948 Epoch 4/5: steps 2790 Discriminator Loss: 1.3299... Generator Loss: 1.0364 Epoch 4/5: steps 2800 Discriminator Loss: 1.2122... Generator Loss: 0.7650
Epoch 4/5: steps 2810 Discriminator Loss: 1.2822... Generator Loss: 0.7172 Epoch 4/5: steps 2820 Discriminator Loss: 1.2914... Generator Loss: 0.7071 Epoch 4/5: steps 2830 Discriminator Loss: 1.2149... Generator Loss: 0.9155 Epoch 4/5: steps 2840 Discriminator Loss: 1.2257... Generator Loss: 0.7672 Epoch 4/5: steps 2850 Discriminator Loss: 1.1649... Generator Loss: 0.8167 Epoch 4/5: steps 2860 Discriminator Loss: 1.1295... Generator Loss: 0.9016 Epoch 4/5: steps 2870 Discriminator Loss: 1.2006... Generator Loss: 0.8154 Epoch 4/5: steps 2880 Discriminator Loss: 1.1942... Generator Loss: 0.8419 Epoch 4/5: steps 2890 Discriminator Loss: 1.2653... Generator Loss: 0.8311 Epoch 4/5: steps 2900 Discriminator Loss: 1.2396... Generator Loss: 0.9171
Epoch 4/5: steps 2910 Discriminator Loss: 1.2551... Generator Loss: 0.8552 Epoch 4/5: steps 2920 Discriminator Loss: 1.2229... Generator Loss: 0.8183 Epoch 4/5: steps 2930 Discriminator Loss: 1.2928... Generator Loss: 0.7570 Epoch 4/5: steps 2940 Discriminator Loss: 1.2415... Generator Loss: 0.8468 Epoch 4/5: steps 2950 Discriminator Loss: 1.1998... Generator Loss: 0.9614 Epoch 4/5: steps 2960 Discriminator Loss: 1.1906... Generator Loss: 0.9142 Epoch 4/5: steps 2970 Discriminator Loss: 1.2280... Generator Loss: 0.7553 Epoch 4/5: steps 2980 Discriminator Loss: 1.2892... Generator Loss: 0.8471 Epoch 4/5: steps 2990 Discriminator Loss: 1.2391... Generator Loss: 0.7333 Epoch 4/5: steps 3000 Discriminator Loss: 1.3978... Generator Loss: 0.8571
Epoch 4/5: steps 3010 Discriminator Loss: 1.2360... Generator Loss: 0.8407 Epoch 4/5: steps 3020 Discriminator Loss: 1.3186... Generator Loss: 0.7994 Epoch 4/5: steps 3030 Discriminator Loss: 1.2637... Generator Loss: 0.8033 Epoch 4/5: steps 3040 Discriminator Loss: 1.3302... Generator Loss: 0.8964 Epoch 4/5: steps 3050 Discriminator Loss: 1.3331... Generator Loss: 0.6972 Epoch 4/5: steps 3060 Discriminator Loss: 1.2624... Generator Loss: 0.8297 Epoch 4/5: steps 3070 Discriminator Loss: 1.2509... Generator Loss: 0.8964 Epoch 4/5: steps 3080 Discriminator Loss: 1.1805... Generator Loss: 0.8826 Epoch 4/5: steps 3090 Discriminator Loss: 1.2374... Generator Loss: 0.7807 Epoch 4/5: steps 3100 Discriminator Loss: 1.2416... Generator Loss: 0.8235
Epoch 4/5: steps 3110 Discriminator Loss: 1.2761... Generator Loss: 0.8778 Epoch 4/5: steps 3120 Discriminator Loss: 1.1735... Generator Loss: 0.7858 Epoch 4/5: steps 3130 Discriminator Loss: 1.2204... Generator Loss: 0.9456 Epoch 4/5: steps 3140 Discriminator Loss: 1.2137... Generator Loss: 0.8639 Epoch 4/5: steps 3150 Discriminator Loss: 1.2134... Generator Loss: 0.7575 Epoch 4/5: steps 3160 Discriminator Loss: 1.2035... Generator Loss: 0.8485 Epoch 5/5: steps 10 Discriminator Loss: 1.2387... Generator Loss: 0.8504 Epoch 5/5: steps 20 Discriminator Loss: 1.0563... Generator Loss: 0.9794 Epoch 5/5: steps 30 Discriminator Loss: 1.1953... Generator Loss: 0.7961 Epoch 5/5: steps 40 Discriminator Loss: 1.1840... Generator Loss: 0.8057 Epoch 5/5: steps 50 Discriminator Loss: 1.1802... Generator Loss: 0.9721 Epoch 5/5: steps 60 Discriminator Loss: 1.2586... Generator Loss: 0.9799 Epoch 5/5: steps 70 Discriminator Loss: 1.2965... Generator Loss: 0.7759 Epoch 5/5: steps 80 Discriminator Loss: 1.3683... Generator Loss: 0.8352 Epoch 5/5: steps 90 Discriminator Loss: 1.2317... Generator Loss: 0.8471 Epoch 5/5: steps 100 Discriminator Loss: 1.2747... Generator Loss: 0.8415
Epoch 5/5: steps 110 Discriminator Loss: 1.3293... Generator Loss: 0.8323 Epoch 5/5: steps 120 Discriminator Loss: 1.2256... Generator Loss: 0.9430 Epoch 5/5: steps 130 Discriminator Loss: 1.2852... Generator Loss: 0.8320 Epoch 5/5: steps 140 Discriminator Loss: 1.2834... Generator Loss: 0.8454 Epoch 5/5: steps 150 Discriminator Loss: 1.2535... Generator Loss: 0.9311 Epoch 5/5: steps 160 Discriminator Loss: 1.1709... Generator Loss: 0.9080 Epoch 5/5: steps 170 Discriminator Loss: 1.2635... Generator Loss: 0.8017 Epoch 5/5: steps 180 Discriminator Loss: 1.1828... Generator Loss: 0.8612 Epoch 5/5: steps 190 Discriminator Loss: 1.3120... Generator Loss: 0.8766 Epoch 5/5: steps 200 Discriminator Loss: 1.2745... Generator Loss: 0.7462
Epoch 5/5: steps 210 Discriminator Loss: 1.2556... Generator Loss: 0.8668 Epoch 5/5: steps 220 Discriminator Loss: 1.3304... Generator Loss: 0.6871 Epoch 5/5: steps 230 Discriminator Loss: 1.2263... Generator Loss: 0.8443 Epoch 5/5: steps 240 Discriminator Loss: 1.2655... Generator Loss: 0.7455 Epoch 5/5: steps 250 Discriminator Loss: 1.2275... Generator Loss: 0.8710 Epoch 5/5: steps 260 Discriminator Loss: 1.2055... Generator Loss: 0.8273 Epoch 5/5: steps 270 Discriminator Loss: 1.1698... Generator Loss: 1.0101 Epoch 5/5: steps 280 Discriminator Loss: 1.1955... Generator Loss: 0.8932 Epoch 5/5: steps 290 Discriminator Loss: 1.2759... Generator Loss: 0.8662 Epoch 5/5: steps 300 Discriminator Loss: 1.2226... Generator Loss: 0.8548
Epoch 5/5: steps 310 Discriminator Loss: 1.1901... Generator Loss: 0.9033 Epoch 5/5: steps 320 Discriminator Loss: 1.2014... Generator Loss: 0.9697 Epoch 5/5: steps 330 Discriminator Loss: 1.4126... Generator Loss: 0.8621 Epoch 5/5: steps 340 Discriminator Loss: 1.1883... Generator Loss: 0.8218 Epoch 5/5: steps 350 Discriminator Loss: 1.3317... Generator Loss: 0.8208 Epoch 5/5: steps 360 Discriminator Loss: 1.2980... Generator Loss: 0.9548 Epoch 5/5: steps 370 Discriminator Loss: 1.3083... Generator Loss: 0.8463 Epoch 5/5: steps 380 Discriminator Loss: 1.2630... Generator Loss: 0.9357 Epoch 5/5: steps 390 Discriminator Loss: 1.1182... Generator Loss: 0.9385 Epoch 5/5: steps 400 Discriminator Loss: 1.3053... Generator Loss: 0.8004
Epoch 5/5: steps 410 Discriminator Loss: 1.2363... Generator Loss: 0.9048 Epoch 5/5: steps 420 Discriminator Loss: 1.3377... Generator Loss: 0.9102 Epoch 5/5: steps 430 Discriminator Loss: 1.2925... Generator Loss: 0.7919 Epoch 5/5: steps 440 Discriminator Loss: 1.2923... Generator Loss: 0.8686 Epoch 5/5: steps 450 Discriminator Loss: 1.2473... Generator Loss: 0.7907 Epoch 5/5: steps 460 Discriminator Loss: 1.2485... Generator Loss: 0.8571 Epoch 5/5: steps 470 Discriminator Loss: 1.2154... Generator Loss: 0.9350 Epoch 5/5: steps 480 Discriminator Loss: 1.2970... Generator Loss: 0.8694 Epoch 5/5: steps 490 Discriminator Loss: 1.2925... Generator Loss: 0.8619 Epoch 5/5: steps 500 Discriminator Loss: 1.2469... Generator Loss: 0.8118
Epoch 5/5: steps 510 Discriminator Loss: 1.3475... Generator Loss: 0.8343 Epoch 5/5: steps 520 Discriminator Loss: 1.2049... Generator Loss: 0.8561 Epoch 5/5: steps 530 Discriminator Loss: 1.2237... Generator Loss: 0.7938 Epoch 5/5: steps 540 Discriminator Loss: 1.3173... Generator Loss: 0.8024 Epoch 5/5: steps 550 Discriminator Loss: 1.2628... Generator Loss: 0.8507 Epoch 5/5: steps 560 Discriminator Loss: 1.1290... Generator Loss: 0.8431 Epoch 5/5: steps 570 Discriminator Loss: 1.3570... Generator Loss: 0.7494 Epoch 5/5: steps 580 Discriminator Loss: 1.3279... Generator Loss: 0.9032 Epoch 5/5: steps 590 Discriminator Loss: 1.2178... Generator Loss: 0.9073 Epoch 5/5: steps 600 Discriminator Loss: 1.2076... Generator Loss: 0.8520
Epoch 5/5: steps 610 Discriminator Loss: 1.2489... Generator Loss: 0.9164 Epoch 5/5: steps 620 Discriminator Loss: 1.2792... Generator Loss: 0.7475 Epoch 5/5: steps 630 Discriminator Loss: 1.2736... Generator Loss: 0.8026 Epoch 5/5: steps 640 Discriminator Loss: 1.2243... Generator Loss: 0.8412 Epoch 5/5: steps 650 Discriminator Loss: 1.2397... Generator Loss: 0.8098 Epoch 5/5: steps 660 Discriminator Loss: 1.2410... Generator Loss: 0.8374 Epoch 5/5: steps 670 Discriminator Loss: 1.2408... Generator Loss: 0.8358 Epoch 5/5: steps 680 Discriminator Loss: 1.2140... Generator Loss: 0.9918 Epoch 5/5: steps 690 Discriminator Loss: 1.1863... Generator Loss: 1.0018 Epoch 5/5: steps 700 Discriminator Loss: 1.2992... Generator Loss: 0.8748
Epoch 5/5: steps 710 Discriminator Loss: 1.2353... Generator Loss: 0.8486 Epoch 5/5: steps 720 Discriminator Loss: 1.2636... Generator Loss: 0.8820 Epoch 5/5: steps 730 Discriminator Loss: 1.3149... Generator Loss: 0.6892 Epoch 5/5: steps 740 Discriminator Loss: 1.2811... Generator Loss: 0.8894 Epoch 5/5: steps 750 Discriminator Loss: 1.1962... Generator Loss: 0.9361 Epoch 5/5: steps 760 Discriminator Loss: 1.2933... Generator Loss: 0.8423 Epoch 5/5: steps 770 Discriminator Loss: 1.2607... Generator Loss: 0.8434 Epoch 5/5: steps 780 Discriminator Loss: 1.2768... Generator Loss: 0.8102 Epoch 5/5: steps 790 Discriminator Loss: 1.3313... Generator Loss: 0.7388 Epoch 5/5: steps 800 Discriminator Loss: 1.3182... Generator Loss: 0.9906
Epoch 5/5: steps 810 Discriminator Loss: 1.2409... Generator Loss: 0.8325 Epoch 5/5: steps 820 Discriminator Loss: 1.2002... Generator Loss: 0.8787 Epoch 5/5: steps 830 Discriminator Loss: 1.2499... Generator Loss: 0.8761 Epoch 5/5: steps 840 Discriminator Loss: 1.3032... Generator Loss: 1.0228 Epoch 5/5: steps 850 Discriminator Loss: 1.1920... Generator Loss: 0.7910 Epoch 5/5: steps 860 Discriminator Loss: 1.2789... Generator Loss: 0.7735 Epoch 5/5: steps 870 Discriminator Loss: 1.1839... Generator Loss: 0.8891 Epoch 5/5: steps 880 Discriminator Loss: 1.2066... Generator Loss: 0.8713 Epoch 5/5: steps 890 Discriminator Loss: 1.3821... Generator Loss: 0.7659 Epoch 5/5: steps 900 Discriminator Loss: 1.1485... Generator Loss: 0.8072
Epoch 5/5: steps 910 Discriminator Loss: 1.2011... Generator Loss: 0.9359 Epoch 5/5: steps 920 Discriminator Loss: 1.2509... Generator Loss: 0.8109 Epoch 5/5: steps 930 Discriminator Loss: 1.2086... Generator Loss: 0.7915 Epoch 5/5: steps 940 Discriminator Loss: 1.2781... Generator Loss: 0.7904 Epoch 5/5: steps 950 Discriminator Loss: 1.2440... Generator Loss: 0.8433 Epoch 5/5: steps 960 Discriminator Loss: 1.1905... Generator Loss: 0.8424 Epoch 5/5: steps 970 Discriminator Loss: 1.3048... Generator Loss: 0.7922 Epoch 5/5: steps 980 Discriminator Loss: 1.2642... Generator Loss: 0.8807 Epoch 5/5: steps 990 Discriminator Loss: 1.3406... Generator Loss: 0.7702 Epoch 5/5: steps 1000 Discriminator Loss: 1.2968... Generator Loss: 0.8084
Epoch 5/5: steps 1010 Discriminator Loss: 1.2290... Generator Loss: 0.7910 Epoch 5/5: steps 1020 Discriminator Loss: 1.1247... Generator Loss: 0.9359 Epoch 5/5: steps 1030 Discriminator Loss: 1.2714... Generator Loss: 0.8345 Epoch 5/5: steps 1040 Discriminator Loss: 1.2943... Generator Loss: 0.8131 Epoch 5/5: steps 1050 Discriminator Loss: 1.2976... Generator Loss: 0.8399 Epoch 5/5: steps 1060 Discriminator Loss: 1.2907... Generator Loss: 0.8275 Epoch 5/5: steps 1070 Discriminator Loss: 1.2476... Generator Loss: 0.8991 Epoch 5/5: steps 1080 Discriminator Loss: 1.2366... Generator Loss: 0.8263 Epoch 5/5: steps 1090 Discriminator Loss: 1.3261... Generator Loss: 0.8010 Epoch 5/5: steps 1100 Discriminator Loss: 1.1997... Generator Loss: 0.8319
Epoch 5/5: steps 1110 Discriminator Loss: 1.2959... Generator Loss: 0.7552 Epoch 5/5: steps 1120 Discriminator Loss: 1.2408... Generator Loss: 0.8515 Epoch 5/5: steps 1130 Discriminator Loss: 1.3133... Generator Loss: 0.8141 Epoch 5/5: steps 1140 Discriminator Loss: 1.2953... Generator Loss: 0.8873 Epoch 5/5: steps 1150 Discriminator Loss: 1.2690... Generator Loss: 0.9273 Epoch 5/5: steps 1160 Discriminator Loss: 1.3057... Generator Loss: 0.9310 Epoch 5/5: steps 1170 Discriminator Loss: 1.2554... Generator Loss: 0.7609 Epoch 5/5: steps 1180 Discriminator Loss: 1.2984... Generator Loss: 0.7476 Epoch 5/5: steps 1190 Discriminator Loss: 1.2116... Generator Loss: 0.8781 Epoch 5/5: steps 1200 Discriminator Loss: 1.2001... Generator Loss: 1.0048
Epoch 5/5: steps 1210 Discriminator Loss: 1.1824... Generator Loss: 0.8867 Epoch 5/5: steps 1220 Discriminator Loss: 1.1831... Generator Loss: 0.9371 Epoch 5/5: steps 1230 Discriminator Loss: 1.2350... Generator Loss: 0.8697 Epoch 5/5: steps 1240 Discriminator Loss: 1.2489... Generator Loss: 0.8597 Epoch 5/5: steps 1250 Discriminator Loss: 1.3222... Generator Loss: 0.8933 Epoch 5/5: steps 1260 Discriminator Loss: 1.3218... Generator Loss: 0.7887 Epoch 5/5: steps 1270 Discriminator Loss: 1.2048... Generator Loss: 0.9058 Epoch 5/5: steps 1280 Discriminator Loss: 1.3435... Generator Loss: 0.8035 Epoch 5/5: steps 1290 Discriminator Loss: 1.2725... Generator Loss: 0.8150 Epoch 5/5: steps 1300 Discriminator Loss: 1.3564... Generator Loss: 0.8841
Epoch 5/5: steps 1310 Discriminator Loss: 1.3483... Generator Loss: 0.7987 Epoch 5/5: steps 1320 Discriminator Loss: 1.2783... Generator Loss: 1.0231 Epoch 5/5: steps 1330 Discriminator Loss: 1.2015... Generator Loss: 0.8961 Epoch 5/5: steps 1340 Discriminator Loss: 1.3368... Generator Loss: 0.7939 Epoch 5/5: steps 1350 Discriminator Loss: 1.2143... Generator Loss: 0.7735 Epoch 5/5: steps 1360 Discriminator Loss: 1.3205... Generator Loss: 1.0277 Epoch 5/5: steps 1370 Discriminator Loss: 1.3439... Generator Loss: 0.8768 Epoch 5/5: steps 1380 Discriminator Loss: 1.2625... Generator Loss: 0.7949 Epoch 5/5: steps 1390 Discriminator Loss: 1.1865... Generator Loss: 0.7990 Epoch 5/5: steps 1400 Discriminator Loss: 1.2515... Generator Loss: 0.8589
Epoch 5/5: steps 1410 Discriminator Loss: 1.3024... Generator Loss: 0.8059 Epoch 5/5: steps 1420 Discriminator Loss: 1.3236... Generator Loss: 0.8182 Epoch 5/5: steps 1430 Discriminator Loss: 1.2999... Generator Loss: 0.7875 Epoch 5/5: steps 1440 Discriminator Loss: 1.3236... Generator Loss: 0.8343 Epoch 5/5: steps 1450 Discriminator Loss: 1.2148... Generator Loss: 0.9418 Epoch 5/5: steps 1460 Discriminator Loss: 1.2845... Generator Loss: 0.8105 Epoch 5/5: steps 1470 Discriminator Loss: 1.2522... Generator Loss: 0.7611 Epoch 5/5: steps 1480 Discriminator Loss: 1.1997... Generator Loss: 0.8308 Epoch 5/5: steps 1490 Discriminator Loss: 1.3233... Generator Loss: 0.8422 Epoch 5/5: steps 1500 Discriminator Loss: 1.2862... Generator Loss: 0.8033
Epoch 5/5: steps 1510 Discriminator Loss: 1.2421... Generator Loss: 0.8326 Epoch 5/5: steps 1520 Discriminator Loss: 1.2225... Generator Loss: 0.9029 Epoch 5/5: steps 1530 Discriminator Loss: 1.2354... Generator Loss: 0.8879 Epoch 5/5: steps 1540 Discriminator Loss: 1.3094... Generator Loss: 1.0017 Epoch 5/5: steps 1550 Discriminator Loss: 1.3761... Generator Loss: 0.8935 Epoch 5/5: steps 1560 Discriminator Loss: 1.2756... Generator Loss: 0.9449 Epoch 5/5: steps 1570 Discriminator Loss: 1.2031... Generator Loss: 0.7649 Epoch 5/5: steps 1580 Discriminator Loss: 1.2583... Generator Loss: 0.7692 Epoch 5/5: steps 1590 Discriminator Loss: 1.2564... Generator Loss: 0.7615 Epoch 5/5: steps 1600 Discriminator Loss: 1.2081... Generator Loss: 0.8346
Epoch 5/5: steps 1610 Discriminator Loss: 1.2672... Generator Loss: 0.8893 Epoch 5/5: steps 1620 Discriminator Loss: 1.2680... Generator Loss: 0.8753 Epoch 5/5: steps 1630 Discriminator Loss: 1.3189... Generator Loss: 0.8385 Epoch 5/5: steps 1640 Discriminator Loss: 1.2666... Generator Loss: 0.8304 Epoch 5/5: steps 1650 Discriminator Loss: 1.2404... Generator Loss: 0.8038 Epoch 5/5: steps 1660 Discriminator Loss: 1.3354... Generator Loss: 0.9302 Epoch 5/5: steps 1670 Discriminator Loss: 1.2408... Generator Loss: 0.8488 Epoch 5/5: steps 1680 Discriminator Loss: 1.2940... Generator Loss: 0.7738 Epoch 5/5: steps 1690 Discriminator Loss: 1.2379... Generator Loss: 0.8724 Epoch 5/5: steps 1700 Discriminator Loss: 1.2346... Generator Loss: 0.8135
Epoch 5/5: steps 1710 Discriminator Loss: 1.2312... Generator Loss: 0.9301 Epoch 5/5: steps 1720 Discriminator Loss: 1.2151... Generator Loss: 0.8558 Epoch 5/5: steps 1730 Discriminator Loss: 1.2146... Generator Loss: 0.8440 Epoch 5/5: steps 1740 Discriminator Loss: 1.3369... Generator Loss: 0.7900 Epoch 5/5: steps 1750 Discriminator Loss: 1.2640... Generator Loss: 0.7974 Epoch 5/5: steps 1760 Discriminator Loss: 1.2449... Generator Loss: 0.9209 Epoch 5/5: steps 1770 Discriminator Loss: 1.1730... Generator Loss: 0.7265 Epoch 5/5: steps 1780 Discriminator Loss: 1.3543... Generator Loss: 0.8019 Epoch 5/5: steps 1790 Discriminator Loss: 1.2515... Generator Loss: 0.7860 Epoch 5/5: steps 1800 Discriminator Loss: 1.3380... Generator Loss: 0.8995
Epoch 5/5: steps 1810 Discriminator Loss: 1.2652... Generator Loss: 0.8014 Epoch 5/5: steps 1820 Discriminator Loss: 1.2527... Generator Loss: 0.7476 Epoch 5/5: steps 1830 Discriminator Loss: 1.1533... Generator Loss: 0.8209 Epoch 5/5: steps 1840 Discriminator Loss: 1.2602... Generator Loss: 0.8133 Epoch 5/5: steps 1850 Discriminator Loss: 1.1874... Generator Loss: 0.8410 Epoch 5/5: steps 1860 Discriminator Loss: 1.2920... Generator Loss: 0.7321 Epoch 5/5: steps 1870 Discriminator Loss: 1.2916... Generator Loss: 0.8098 Epoch 5/5: steps 1880 Discriminator Loss: 1.2583... Generator Loss: 0.8001 Epoch 5/5: steps 1890 Discriminator Loss: 1.2503... Generator Loss: 0.8932 Epoch 5/5: steps 1900 Discriminator Loss: 1.2880... Generator Loss: 0.8714
Epoch 5/5: steps 1910 Discriminator Loss: 1.2736... Generator Loss: 0.8351 Epoch 5/5: steps 1920 Discriminator Loss: 1.3171... Generator Loss: 0.8543 Epoch 5/5: steps 1930 Discriminator Loss: 1.2347... Generator Loss: 0.8005 Epoch 5/5: steps 1940 Discriminator Loss: 1.2754... Generator Loss: 0.8741 Epoch 5/5: steps 1950 Discriminator Loss: 1.2918... Generator Loss: 0.7896 Epoch 5/5: steps 1960 Discriminator Loss: 1.2623... Generator Loss: 0.8101 Epoch 5/5: steps 1970 Discriminator Loss: 1.2138... Generator Loss: 0.8832 Epoch 5/5: steps 1980 Discriminator Loss: 1.2220... Generator Loss: 0.7669 Epoch 5/5: steps 1990 Discriminator Loss: 1.2065... Generator Loss: 0.8931 Epoch 5/5: steps 2000 Discriminator Loss: 1.2230... Generator Loss: 0.8193
Epoch 5/5: steps 2010 Discriminator Loss: 1.2003... Generator Loss: 0.9030 Epoch 5/5: steps 2020 Discriminator Loss: 1.3480... Generator Loss: 0.8050 Epoch 5/5: steps 2030 Discriminator Loss: 1.1766... Generator Loss: 0.8440 Epoch 5/5: steps 2040 Discriminator Loss: 1.2873... Generator Loss: 0.8141 Epoch 5/5: steps 2050 Discriminator Loss: 1.2233... Generator Loss: 0.8807 Epoch 5/5: steps 2060 Discriminator Loss: 1.2299... Generator Loss: 0.8722 Epoch 5/5: steps 2070 Discriminator Loss: 1.3051... Generator Loss: 0.8981 Epoch 5/5: steps 2080 Discriminator Loss: 1.1994... Generator Loss: 0.8258 Epoch 5/5: steps 2090 Discriminator Loss: 1.1723... Generator Loss: 0.8065 Epoch 5/5: steps 2100 Discriminator Loss: 1.2240... Generator Loss: 0.7806
Epoch 5/5: steps 2110 Discriminator Loss: 1.2218... Generator Loss: 0.8823 Epoch 5/5: steps 2120 Discriminator Loss: 1.2842... Generator Loss: 0.7304 Epoch 5/5: steps 2130 Discriminator Loss: 1.3379... Generator Loss: 0.8884 Epoch 5/5: steps 2140 Discriminator Loss: 1.2679... Generator Loss: 0.8161 Epoch 5/5: steps 2150 Discriminator Loss: 1.1894... Generator Loss: 0.8844 Epoch 5/5: steps 2160 Discriminator Loss: 1.2864... Generator Loss: 0.8943 Epoch 5/5: steps 2170 Discriminator Loss: 1.1655... Generator Loss: 0.9262 Epoch 5/5: steps 2180 Discriminator Loss: 1.1849... Generator Loss: 1.0414 Epoch 5/5: steps 2190 Discriminator Loss: 1.2017... Generator Loss: 0.9664 Epoch 5/5: steps 2200 Discriminator Loss: 1.3422... Generator Loss: 0.7801
Epoch 5/5: steps 2210 Discriminator Loss: 1.1587... Generator Loss: 0.7848 Epoch 5/5: steps 2220 Discriminator Loss: 1.3389... Generator Loss: 0.9032 Epoch 5/5: steps 2230 Discriminator Loss: 1.2417... Generator Loss: 0.7283 Epoch 5/5: steps 2240 Discriminator Loss: 1.2292... Generator Loss: 0.7419 Epoch 5/5: steps 2250 Discriminator Loss: 1.2320... Generator Loss: 0.8047 Epoch 5/5: steps 2260 Discriminator Loss: 1.2835... Generator Loss: 0.7885 Epoch 5/5: steps 2270 Discriminator Loss: 1.1922... Generator Loss: 0.8882 Epoch 5/5: steps 2280 Discriminator Loss: 1.2853... Generator Loss: 0.8875 Epoch 5/5: steps 2290 Discriminator Loss: 1.2697... Generator Loss: 0.7753 Epoch 5/5: steps 2300 Discriminator Loss: 1.2379... Generator Loss: 0.8155
Epoch 5/5: steps 2310 Discriminator Loss: 1.2802... Generator Loss: 0.7753 Epoch 5/5: steps 2320 Discriminator Loss: 1.2958... Generator Loss: 0.8306 Epoch 5/5: steps 2330 Discriminator Loss: 1.2673... Generator Loss: 0.9220 Epoch 5/5: steps 2340 Discriminator Loss: 1.2699... Generator Loss: 0.7999 Epoch 5/5: steps 2350 Discriminator Loss: 1.2312... Generator Loss: 0.7555 Epoch 5/5: steps 2360 Discriminator Loss: 1.1186... Generator Loss: 0.8781 Epoch 5/5: steps 2370 Discriminator Loss: 1.2265... Generator Loss: 0.7659 Epoch 5/5: steps 2380 Discriminator Loss: 1.3353... Generator Loss: 0.8512 Epoch 5/5: steps 2390 Discriminator Loss: 1.3053... Generator Loss: 0.8733 Epoch 5/5: steps 2400 Discriminator Loss: 1.1566... Generator Loss: 0.8465
Epoch 5/5: steps 2410 Discriminator Loss: 1.2491... Generator Loss: 0.9140 Epoch 5/5: steps 2420 Discriminator Loss: 1.2911... Generator Loss: 0.7821 Epoch 5/5: steps 2430 Discriminator Loss: 1.2513... Generator Loss: 0.7686 Epoch 5/5: steps 2440 Discriminator Loss: 1.2637... Generator Loss: 0.8193 Epoch 5/5: steps 2450 Discriminator Loss: 1.2709... Generator Loss: 0.8311 Epoch 5/5: steps 2460 Discriminator Loss: 1.3026... Generator Loss: 0.8837 Epoch 5/5: steps 2470 Discriminator Loss: 1.1826... Generator Loss: 0.7793 Epoch 5/5: steps 2480 Discriminator Loss: 1.2028... Generator Loss: 0.9382 Epoch 5/5: steps 2490 Discriminator Loss: 1.2665... Generator Loss: 0.8479 Epoch 5/5: steps 2500 Discriminator Loss: 1.3138... Generator Loss: 0.8159
Epoch 5/5: steps 2510 Discriminator Loss: 1.2120... Generator Loss: 0.7802 Epoch 5/5: steps 2520 Discriminator Loss: 1.1927... Generator Loss: 0.7935 Epoch 5/5: steps 2530 Discriminator Loss: 1.2185... Generator Loss: 0.8532 Epoch 5/5: steps 2540 Discriminator Loss: 1.2211... Generator Loss: 0.9653 Epoch 5/5: steps 2550 Discriminator Loss: 1.1974... Generator Loss: 0.9718 Epoch 5/5: steps 2560 Discriminator Loss: 1.2954... Generator Loss: 0.7135 Epoch 5/5: steps 2570 Discriminator Loss: 1.2366... Generator Loss: 0.9337 Epoch 5/5: steps 2580 Discriminator Loss: 1.2737... Generator Loss: 0.6627 Epoch 5/5: steps 2590 Discriminator Loss: 1.2743... Generator Loss: 0.8301 Epoch 5/5: steps 2600 Discriminator Loss: 1.2920... Generator Loss: 0.8704
Epoch 5/5: steps 2610 Discriminator Loss: 1.2389... Generator Loss: 0.8284 Epoch 5/5: steps 2620 Discriminator Loss: 1.3791... Generator Loss: 0.8421 Epoch 5/5: steps 2630 Discriminator Loss: 1.2367... Generator Loss: 0.7096 Epoch 5/5: steps 2640 Discriminator Loss: 1.2381... Generator Loss: 0.7645 Epoch 5/5: steps 2650 Discriminator Loss: 1.1665... Generator Loss: 0.8408 Epoch 5/5: steps 2660 Discriminator Loss: 1.2864... Generator Loss: 0.8882 Epoch 5/5: steps 2670 Discriminator Loss: 1.2525... Generator Loss: 0.7916 Epoch 5/5: steps 2680 Discriminator Loss: 1.2213... Generator Loss: 0.8585 Epoch 5/5: steps 2690 Discriminator Loss: 1.3064... Generator Loss: 0.7914 Epoch 5/5: steps 2700 Discriminator Loss: 1.3328... Generator Loss: 0.9519
Epoch 5/5: steps 2710 Discriminator Loss: 1.2313... Generator Loss: 0.8762 Epoch 5/5: steps 2720 Discriminator Loss: 1.3194... Generator Loss: 0.6515 Epoch 5/5: steps 2730 Discriminator Loss: 1.3312... Generator Loss: 0.8960 Epoch 5/5: steps 2740 Discriminator Loss: 1.1492... Generator Loss: 0.8921 Epoch 5/5: steps 2750 Discriminator Loss: 1.1828... Generator Loss: 1.0069 Epoch 5/5: steps 2760 Discriminator Loss: 1.2651... Generator Loss: 0.7855 Epoch 5/5: steps 2770 Discriminator Loss: 1.2705... Generator Loss: 0.7496 Epoch 5/5: steps 2780 Discriminator Loss: 1.2289... Generator Loss: 0.7489 Epoch 5/5: steps 2790 Discriminator Loss: 1.2493... Generator Loss: 0.7192 Epoch 5/5: steps 2800 Discriminator Loss: 1.2080... Generator Loss: 0.8579
Epoch 5/5: steps 2810 Discriminator Loss: 1.2994... Generator Loss: 0.7967 Epoch 5/5: steps 2820 Discriminator Loss: 1.3402... Generator Loss: 0.8120 Epoch 5/5: steps 2830 Discriminator Loss: 1.3705... Generator Loss: 0.8465 Epoch 5/5: steps 2840 Discriminator Loss: 1.2790... Generator Loss: 0.8538 Epoch 5/5: steps 2850 Discriminator Loss: 1.1929... Generator Loss: 0.7849 Epoch 5/5: steps 2860 Discriminator Loss: 1.2188... Generator Loss: 0.9683 Epoch 5/5: steps 2870 Discriminator Loss: 1.2608... Generator Loss: 0.8488 Epoch 5/5: steps 2880 Discriminator Loss: 1.2252... Generator Loss: 0.7942 Epoch 5/5: steps 2890 Discriminator Loss: 1.2312... Generator Loss: 0.7999 Epoch 5/5: steps 2900 Discriminator Loss: 1.2553... Generator Loss: 0.8016
Epoch 5/5: steps 2910 Discriminator Loss: 1.2959... Generator Loss: 0.8622 Epoch 5/5: steps 2920 Discriminator Loss: 1.2687... Generator Loss: 0.7583 Epoch 5/5: steps 2930 Discriminator Loss: 1.2993... Generator Loss: 0.7165 Epoch 5/5: steps 2940 Discriminator Loss: 1.2542... Generator Loss: 0.7762 Epoch 5/5: steps 2950 Discriminator Loss: 1.2370... Generator Loss: 0.7281 Epoch 5/5: steps 2960 Discriminator Loss: 1.2496... Generator Loss: 0.8692 Epoch 5/5: steps 2970 Discriminator Loss: 1.2163... Generator Loss: 0.8229 Epoch 5/5: steps 2980 Discriminator Loss: 1.2383... Generator Loss: 0.8246 Epoch 5/5: steps 2990 Discriminator Loss: 1.2582... Generator Loss: 0.8115 Epoch 5/5: steps 3000 Discriminator Loss: 1.2820... Generator Loss: 0.8374
Epoch 5/5: steps 3010 Discriminator Loss: 1.3977... Generator Loss: 0.6979 Epoch 5/5: steps 3020 Discriminator Loss: 1.2175... Generator Loss: 0.7732 Epoch 5/5: steps 3030 Discriminator Loss: 1.2392... Generator Loss: 0.9160 Epoch 5/5: steps 3040 Discriminator Loss: 1.2995... Generator Loss: 0.9068 Epoch 5/5: steps 3050 Discriminator Loss: 1.2533... Generator Loss: 0.8163 Epoch 5/5: steps 3060 Discriminator Loss: 1.2588... Generator Loss: 0.8472 Epoch 5/5: steps 3070 Discriminator Loss: 1.2821... Generator Loss: 0.7237 Epoch 5/5: steps 3080 Discriminator Loss: 1.2410... Generator Loss: 0.8805 Epoch 5/5: steps 3090 Discriminator Loss: 1.2508... Generator Loss: 0.7943
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.